## CryptoDB

### Yuval Ishai

#### Publications

**Year**

**Venue**

**Title**

2021

EUROCRYPT

Function Secret Sharing for Mixed-Mode and Fixed-Point Secure Computation
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Abstract

Recently Boyle et al. (TCC 2019) proposed a new approach for secure computation in the {\em preprocessing model} building on {\em function secret sharing} (FSS). This approach can be used to realize any circuit containing gates that admit efficient FSS schemes. In this work, we make the following three technical contributions:
{\bf Improved Key Size.} The complexity of the preprocessing phase directly depends on the FSS key size. We improve the size of FSS keys for several existing FSS constructions through two important steps. First, we present a roughly $4\times$ reduction in FSS key size for the Distributed Comparison Function (DCF), i.e. ($f_\alpha(x) = \beta$ for all $x < \alpha$ and $0$, otherwise). Second, prior FSS schemes for many important function classes are obtained via reductions to multiple instances of DCF; for example, 2 instances for interval containment and $2m$ for splines with $m$ pieces. We significantly improve these reductions for public intervals and obtain {\em optimal} FSS schemes, i.e., through a {\em single instance of DCF}, thereby reducing the key sizes by up to $6-22\times$ for commonly used functions in mixed-mode secure computation such as ReLU and sigmoid.
{\bf FSS for New Function Families.} We present the first constructions of FSS schemes for arithmetic and logical right shift, as well as for bit-decomposition, where the output bits must be secret shared in a larger ring. These functions are crucial for many applications such as fixed-point arithmetic and machine learning.
{\bf FSS for Fixed-Point Arithmetic and Barrier.} One of the important functions in the realization of secure fixed-point arithmetic is that of multiply-then-truncate. While our work shows how to obtain a construction for this function in 2 rounds using sequential calls to FSS schemes for multiply and shift, we demonstrate a barrier towards improving this via FSS beyond what we achieve. Specifically, we show that a 1-round solution would require settling a major open problem in the area of FSS: namely, building an FSS for the class of bit-conjunction functions based on only symmetric-key cryptographic assumptions.

2021

PKC

A Geometric Approach to Homomorphic Secret Sharing
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Abstract

An (n,m,t)-homomorphic secret sharing (HSS) scheme allows n clients to share their inputs across m servers, such that the inputs are hidden from any t colluding servers, and moreover the servers can evaluate functions over the inputs locally by mapping their input shares to compact output shares. Such compactness makes HSS a useful building block for communication-efficient secure multi-party computation (MPC).
In this work, we propose a simple compiler for HSS evaluating multivariate polynomials based on two building blocks: (1) homomorphic encryption for linear functions or low-degree polynomials, and (2) information-theoretic HSS for low-degree polynomials. Our compiler leverages the power of the first building block towards improving the parameters of the second.
We use our compiler to generalize and improve on the HSS scheme of Lai, Malavolta, and Schröder [ASIACRYPT'18], which is only efficient when the number of servers is at most logarithmic in the security parameter. In contrast, we obtain efficient schemes for polynomials of higher degrees and an arbitrary number of servers. This application of our general compiler extends techniques that were developed in the context of information-theoretic private information retrieval (Woodruff and Yekhanin [CCC'05]), which use partial derivatives and Hermite interpolation to support the computation of polynomials of higher degrees.
In addition to the above, we propose a new application of HSS to MPC with preprocessing. By pushing the computation of some HSS servers to a preprocessing phase, we obtain communication-efficient MPC protocols for low-degree polynomials that use fewer parties than previous protocols based on the same assumptions. The online communication of these protocols is linear in the input size, independently of the description size of the polynomial.

2021

CRYPTO

Secure Computation from One-Way Noisy Communication, or: Anti-Correlation via Anti-Concentration
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Abstract

Can a sender encode a pair of messages (m_0,m_1) jointly, and send their encoding over (say) a binary erasure channel, so that the receiver can decode exactly one of the two messages and the sender does not know which one?
Garg et al. (Crypto 2015) showed that this is information-theoretically impossible.
We show how to circumvent this impossibility by assuming that the receiver is computationally bounded, settling for an inverse-polynomial security error (which is provably necessary), and relying on ideal obfuscation.
Our solution creates a ``computational anti-correlation'' between the events of receiving m_0 and receiving m_1 by exploiting the anti-concentration of the binomial distribution.
The ideal obfuscation primitive in our construction can either be directly realized using (stateless) tamper-proof hardware, yielding an unconditional result, or heuristically instantiated using existing indistinguishability obfuscation schemes. We put forward a new notion of obfuscation that suffices to securely instantiate our construction.
As a corollary, we get similar feasibility results for general secure computation of sender-receiver functionalities by leveraging the completeness of the above ``random oblivious transfer'' functionality.

2021

CRYPTO

On the Round Complexity of Black-Box Secure MPC
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Abstract

We consider the question of minimizing the round complexity of secure multiparty computation (MPC) protocols that make a black-box use of simple cryptographic primitives in the setting of security against any number of malicious parties. In the plain model, previous black-box protocols required a high constant number of rounds (>15). This is far from the known lower bound of 4 rounds for protocols with black-box simulators.
When allowing a random oblivious transfer (OT) correlation setup, 2-round protocols making a black-box use of a pseudorandom generator were previously known. However, such protocols were obtained via a round-collapsing ``protocol garbling'' technique that has poor concrete efficiency and makes a non-black-box use of an underlying malicious-secure protocol.
We improve this state of affairs by presenting the following types of black-box protocols.
a. 4-round ``pairwise MPC'' in the plain model.
This round-optimal protocol enables each ordered pair of parties to compute a function of both inputs whose output is delivered to the second party. The protocol makes black-box use of any public-key encryption (PKE) with pseudorandom public keys. As a special case, we get a black-box round-optimal realization of secure (copies of) OT between every ordered pair of parties.
b. 2-round MPC from OT correlations.
This round-optimal protocol makes a black-box use of any general 2-round MPC protocol satisfying an augmented notion of semi-honest security. In the two-party case, this yields new kinds of 2-round black-box protocols.
c. 5-round MPC in the plain model.
This protocol makes a black-box use of PKE with pseudorandom public keys, and 2-round oblivious transfer with ``semi-malicious'' security.
A key technical tool for the first result is a novel combination of split-state non-malleable codes (Dziembowski, Pietrzak, and Wichs, JACM '18) with standalone secure {\em two-party} protocols. The second result is based on a new round-optimized variant of the ``IPS compiler'' (Ishai, Prabhakaran and Sahai, Crypto '08). The third result is obtained via a specialized combination of these two techniques.

2021

CRYPTO

MPC-Friendly Symmetric Cryptography from Alternating Moduli: Candidates, Protocols, and Applications
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Abstract

We study new candidates for symmetric cryptographic primitives that leverage alternation between linear functions over $\mathbb{Z}_2$ and $\mathbb{Z}_3$ to support fast protocols for secure multiparty computation (MPC). This continues the study of weak pseudorandom functions of this kind initiated by Boneh et al. (TCC 2018) and Cheon et al. (PKC 2021).
We make the following contributions.
(Candidates). We propose new designs of symmetric primitives based on alternating moduli. These include candidate one-way functions, pseudorandom generators, and weak pseudorandom functions. We propose concrete parameters based on cryptanalysis.
(Protocols). We provide a unified approach for securely evaluating modulus-alternating primitives in different MPC models. For the original candidate of Boneh et al., our protocols obtain at least 2x improvement in all performance measures. We report efficiency benchmarks of an optimized implementation.
(Applications). We showcase the usefulness of our candidates for a variety of applications. This includes short ``Picnic-style'' signature schemes, as well as protocols for oblivious pseudorandom functions, hierarchical key derivation, and distributed key generation for function secret sharing.

2021

CRYPTO

Low-Complexity Weak Pseudorandom Functions in AC0[MOD2]
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Abstract

A *weak pseudorandom function* (WPRF) is a keyed function $f_k:\{0,1\}^n\to\{0,1\}$ such that, for a random key $k$, a collection of samples $(x, f_k(x))$, for {\em uniformly random} inputs $x$, cannot be efficiently distinguished from totally random input-output pairs $(x,y)$. We study WPRFs in AC0[MOD2], the class of functions computable by AC0 circuits with parity gates, making the following contributions.
- *Between Lapland and Cryptomania.* We show that WPRFs in AC0[MOD2] imply a variant of the Learning Parity with Noise (LPN) assumption. This gives an unconditional version of an earlier conditional result of Akavia et al. (ITCS 2014). We further show that WPRFs in a subclass of AC0[mod 2] that includes a recent WPRF candidate by Boyle et al. (FOCS 2020) imply, under a seemingly weak additional conjecture, public-key encryption.
- *WPRF by sparse polynomials.* We propose the first WPRF candidate that can be computed by sparse multivariate polynomials over $\F_2$. We prove that it has subexponential security against linear and algebraic attacks.
- *WPRF in AC0 ◦ MOD2.* We study the existence of WPRFs computed by AC0 circuits \emph{over} parity gates. We propose a modified version of a previous WPRF candidate of Akavia et al., and prove that it resists the algebraic attacks that were used by Bogdanov and Rosen (ECCC 2017) to break the original candidate in quasipolynomial time. We give evidence against the possibility of using {\em public} parity gates and relate this question to other conjectures.

2021

CRYPTO

Sublinear GMW-Style Compiler for MPC with Preprocessing
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Abstract

We consider the efficiency of protocols for secure multiparty computation (MPC) with a dishonest majority. A popular approach for the design of such protocols is to employ {\em preprocessing}. Before the inputs are known, the parties generate correlated secret randomness, which is consumed by a fast and ``information-theoretic'' online protocol.
A powerful technique for securing such protocols against malicious parties uses {\em homomorphic MACs} to authenticate the values produced by the online protocol. Compared to a baseline protocol, which is only secure against semi-honest parties, this involves a significant increase in the size of the correlated randomness, by a factor of up to a statistical security parameter. Different approaches for partially mitigating this extra storage cost come at the expense of increasing the online communication.
In this work we propose a new technique for protecting MPC with preprocessing against malicious parties. We show that for circuit evaluation protocols that satisfy mild security and structural requirements, that are met by almost all standard protocols with semi-honest security, the extra {\em additive} storage and online communication costs are both {\em logarithmic} in the circuit size. This applies to Boolean circuits and to arithmetic circuits over fields or rings, and to both information-theoretic and computationally secure protocols. Our protocol can be viewed as a sublinear information-theoretic variant of the celebrated ``GMW compiler'' that applies to MPC with preprocessing.
Our compiler makes a novel use of the techniques of Boneh et al. (Crypto 2019) for sublinear distributed zero knowledge, which were previously only used in the setting of {\em honest-majority} MPC.

2021

TCC

Generalized Pseudorandom Secret Sharing and Efficient Straggler-Resilient Secure Computation
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Abstract

Secure multiparty computation (MPC) enables $n$ parties, of which up to $t$ may be corrupted, to perform joint computations on their private inputs while revealing only the outputs. Optimizing the asymptotic and concrete costs of MPC protocols has become an important line of research. Much of this research focuses on the setting of an honest majority, where $n \ge 2t+1$, which gives rise to concretely efficient protocols that are either information-theoretic or make a black-box use of symmetric cryptography. Efficiency can be further improved in the case of a {\em strong} honest majority, where $n>2t+1$.
Motivated by the goal of minimizing the communication and latency costs of MPC with a strong honest majority, we make two related contributions.
\begin{itemize}[leftmargin=*]
\item {\bf Generalized pseudorandom secret sharing (PRSS).}
Linear correlations serve as an important resource for MPC protocols and beyond. PRSS enables secure generation of many pseudorandom instances of such correlations without interaction, given replicated seeds of a pseudorandom function.
We extend the PRSS technique of Cramer et al.\ (TCC 2015) for sharing degree-$d$ polynomials to new constructions leveraging a particular class of combinatorial designs. Our constructions yield a dramatic efficiency improvement when the degree $d$ is higher than the security threshold $t$, not only for standard degree-$d$ correlations but also for several useful generalizations. In particular, correlations for locally converting between slot configurations in ``share packing'' enable us to avoid the concrete overhead of prior works.
\item {\bf Cheap straggler resilience.}
In reality, communication is not fully synchronous: protocol executions suffer from variance in communication delays and occasional node or message-delivery failures. We explore the benefits of PRSS-based MPC with a strong honest majority toward robustness against such failures, in turn yielding improved latency delays. In doing so we develop a novel technique for defending against a subtle ``double-dipping'' attack, which applies to the best existing protocols, with almost no extra cost in communication or rounds.
\end{itemize}
Combining the above tools requires further work, including new methods for batch verification via distributed zero-knowledge proofs (Boneh et al., CRYPTO 2019) that apply to packed secret sharing.
Overall, our work demonstrates new advantages of the strong honest majority setting, and introduces new tools---in particular, generalized PRSS---that we believe will be of independent use within other cryptographic applications.

2021

JOFC

Unconditionally Secure Computation Against Low-Complexity Leakage
Abstract

We consider the problem of constructing leakage-resilient circuit compilers that are secure against global leakage functions with bounded output length. By global, we mean that the leakage can depend on all circuit wires and output a low-complexity function (represented as a multi-output Boolean circuit) applied on these wires. In this work, we design compilers both in the stateless (a.k.a. single-shot leakage) setting and the stateful (a.k.a. continuous leakage) setting that are unconditionally secure against $$\mathsf {AC}^0$$ AC 0 leakage and similar low-complexity classes. In the stateless case, we show that the original private circuits construction of Ishai, Sahai, and Wagner (Crypto 2003) is actually secure against $$\mathsf {AC}^0$$ AC 0 leakage. In the stateful case, we modify the construction of Rothblum (Crypto 2012), obtaining a simple construction with unconditional security. Prior works that designed leakage-resilient circuit compilers against $$\mathsf {AC}^0$$ AC 0 leakage had to rely either on secure hardware components (Faust et al., Eurocrypt 2010, Miles-Viola, STOC 2013) or on (unproven) complexity-theoretic assumptions (Rothblum, Crypto 2012).

2021

JOFC

On the Local Leakage Resilience of Linear Secret Sharing Schemes
Abstract

We consider the following basic question: to what extent are standard secret sharing schemes and protocols for secure multiparty computation that build on them resilient to leakage? We focus on a simple local leakage model, where the adversary can apply an arbitrary function of a bounded output length to the secret state of each party, but cannot otherwise learn joint information about the states. We show that additive secret sharing schemes and high-threshold instances of Shamir’s secret sharing scheme are secure under local leakage attacks when the underlying field is of a large prime order and the number of parties is sufficiently large. This should be contrasted with the fact that any linear secret sharing scheme over a small characteristic field is clearly insecure under local leakage attacks, regardless of the number of parties. Our results are obtained via tools from Fourier analysis and additive combinatorics. We present two types of applications of the above results and techniques. As a positive application, we show that the “GMW protocol” for honest-but-curious parties, when implemented using shared products of random field elements (so-called “Beaver Triples”), is resilient in the local leakage model for sufficiently many parties and over certain fields. This holds even when the adversary has full access to a constant fraction of the views. As a negative application, we rule out multiparty variants of the share conversion scheme used in the 2-party homomorphic secret sharing scheme of Boyle et al. (in: Crypto, 2016).

2020

PKC

How Low Can We Go?
★
Abstract

Given a cryptographic task, such as encrypting a message or securely computing a given function, a natural question is to find the "minimal cost" of carrying out this task. The question can take a variety of forms, depending on the cost measure. For instance, one can try to minimize computation, communication, rounds, or randomness. In the case of computational cost, one can consider different computation models, such as circuits or branching programs, and different cost metrics, such as size or depth. The answer to the question may further depend on the type of computational assumptions one is willing to make. The study of this question, for different cryptographic tasks and clean asymptotic cost measures, has led to a rich body of work with useful and often unexpected results. The talk will survey some of this work, highlighting connections between different research areas in cryptography and relevance beyond cryptography. In addition to the direct interest in minimizing well-motivated complexity measures, there are cases in which ``high-end' cryptographic tasks, such as secure multiparty computation or program obfuscation, call for minimizing different cost measures of lower-end primitives that would otherwise seem poorly motivated. I will give some examples of this kind. Finally, I will make the case that despite the progress already made, there is much more to be explored. Research in this area can greatly benefit from more cooperation between theoretical and applied cryptographers, as well as between cryptographers and researchers from other fields, including computational complexity, algorithms, computational learning theory, coding and information theory.

2020

CRYPTO

On Succinct Arguments and Witness Encryption from Groups
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Abstract

Succinct non-interactive arguments (SNARGs) enable proofs of NP statements with very low communication. Recently, there has been significant work in both theory and practice on constructing SNARGs with very short proofs. Currently, the state-of-the-art in succinctness is due to Groth (Eurocrypt 2016) who constructed a SNARG from bilinear maps where the proof consists of just 3 group elements.
In this work, we first construct a concretely-efficient designated-verifier (preprocessing) SNARG with inverse polynomial soundness, where the proof consists of just 2 group elements in a standard (generic) group. This leads to a 50% reduction in concrete proof size compared to Groth's construction. We follow the approach of Bitansky et al. (TCC 2013) who describe a compiler from linear PCPs to SNARGs in the preprocessing model. Our improvement is based on a new linear PCP packing technique that allows us to construct 1-query linear PCPs which can then be compiled into a SNARG (using ElGamal encryption over a generic group). An appealing feature of our new SNARG is that the verifier can precompute a statement-independent lookup table in an offline phase; verifying proofs then only requires 2 exponentiations and a single table lookup. This makes our new designated-verifier SNARG appealing in settings that demand fast verification and minimal communication.
We then turn to the question of constructing arguments where the proof consists of a single group element. Here, we first show that any (possibly interactive) argument for a language L where the verification algorithm is "generic" (i.e., only performs generic group operations) and the proof consists of a single group element, implies a witness encryption scheme for L. We then show that under a yet-unproven, but highly plausible, hypothesis on the hardness of approximating the minimal distance of linear codes, we can construct a 2-message laconic argument for NP where the proof consists of a single group element. Under the same hypothesis, we obtain a witness encryption scheme for NP in the generic group model. Along the way, we show that under a conceptually-similar but proven hardness of approximation result, there is a 2-message laconic argument for NP with negligible soundness error where the prover's message consists of just 2 group elements. In both settings, we obtain laconic arguments (and linear PCPs) with linear decision procedures. Our constructions circumvent a previous lower bound by Groth on such argument systems with linear decision procedures by relying on imperfect completeness. Namely, our constructions have vanishing but not negligible completeness error, while the lower bound of Groth implicitly assumes negligible completeness error of the underlying argument. Our techniques thus highlight new avenues for designing linear PCPs, succinct arguments, and witness encryption schemes.

2020

CRYPTO

Efficient Pseudorandom Correlation Generators from Ring-LPN
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Abstract

Secure multiparty computation can often utilize a trusted source of correlated randomness to achieve better efficiency. A recent line of work, initiated by Boyle et al. (CCS 2018, Crypto 2019), showed how useful forms of correlated randomness can be generated using a cheap, one-time interaction, followed by only ``silent'' local computation. This is achieved via a \emph{pseudorandom correlation generator} (PCG), a deterministic function that stretches short correlated seeds into long instances of a target correlation. Previous works constructed concretely efficient PCGs for simple but useful correlations, including random oblivious transfer and vector-OLE, together with efficient protocols to distribute the PCG seed generation. Most of these constructions were based on variants of the Learning Parity with Noise (LPN) assumption. PCGs for other useful correlations had poor asymptotic and concrete efficiency.
In this work, we design a new class of efficient PCGs based on different flavors of the {\em ring-LPN} assumption. Our new PCGs can generate OLE correlations, authenticated multiplication triples, matrix product correlations, and other types of useful correlations over large fields. These PCGs are more efficient by orders of magnitude than the previous constructions and can be used to improve the preprocessing phase of many existing MPC protocols.

2020

TCC

On Pseudorandom Encodings
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Abstract

We initiate a study of \emph{pseudorandom encodings}: efficiently computable and decodable encoding functions that map messages from a given distribution to a random-looking distribution.
For instance, every distribution that can be perfectly compressed admits such a pseudorandom encoding.
Pseudorandom encodings are motivated by a variety of cryptographic applications, including password-authenticated key exchange, ``honey encryption'' and steganography.
The main question we ask is whether \emph{every} efficiently samplable distribution admits a pseudorandom encoding.
Under different cryptographic assumptions, we obtain positive and negative answers for different flavors of pseudorandom encodings, and relate this question to problems in other areas of cryptography. In particular, by establishing a two-way relation between pseudorandom encoding schemes and efficient invertible sampling algorithms, we reveal a connection between adaptively secure multi-party computation and questions in the domain of steganography.

2020

TCC

On Computational Shortcuts for Information-Theoretic PIR
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Abstract

Information-theoretic {\em private information retrieval} (PIR) schemes have attractive concrete efficiency features. However, in the standard PIR model, the computational complexity of the servers must scale linearly with the database size.
We study the possibility of bypassing this limitation in the case where the database is a truth table of a ``simple'' function, such as a union of (multi-dimensional) intervals or convex shapes, a decision tree, or a DNF formula. This question is motivated by the goal of obtaining lightweight {\em homomorphic secret sharing} (HSS) schemes and secure multiparty computation (MPC) protocols for the corresponding families.
We obtain both positive and negative results. For ``first-generation'' PIR schemes based on Reed-Muller codes, we obtain computational shortcuts for the above function families, with the exception of DNF formulas for which we show a (conditional) hardness results. For ``third-generation'' PIR schemes based on matching vectors, we obtain stronger hardness results that apply to all of the above families.
Our positive results yield new information-theoretic HSS schemes and MPC protocols with attractive efficiency features for simple but useful function families. Our negative results establish new connections between information-theoretic cryptography and fine-grained complexity.

2020

ASIACRYPT

Cryptography from One-Way Communication: On Completeness of Finite Channels
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Abstract

Garg et al. (Crypto 2015) initiated the study of cryptographic protocols over noisy channels in the non-interactive setting, namely when only one party speaks. A major question left open by this work is the completeness of {\em finite} channels, whose input and output alphabets do not grow with the desired level of security. In this work, we address this question by obtaining the following results:
Completeness of Bit-ROT with Inverse Polynomial Error: We show that bit-ROT (i.e., Randomized Oblivious Transfer channel, where each of the two messages is a single bit) can be used to realize general randomized functionalities with inverse polynomial error. Towards this, we provide a construction of string-ROT from bit-ROT with inverse polynomial error.
No Finite Channel is Complete with Negligible Error: To complement the above, we show that {\it no} finite channel can be used to realize string-ROT with negligible error, implying that the inverse polynomial error in the completeness of bit-ROT is inherent. This holds even with semi-honest parties and for computational security, and is contrasted with the (negligible-error) completeness of string-ROT shown by Garg et al.
Characterization of Finite Channels Enabling Zero-Knowledge Proofs: An important instance of secure computation is zero-knowledge proofs.
Noisy channels can potentially be used to realize truly non-interactive zero-knowledge proofs, without trusted common randomness, and with non-transferability and deniability features that cannot be realized in the plain model. Garg et al. obtain such zero-knowledge proofs from the binary erasure channel (BEC) and the binary symmetric channel (BSC). We complete the picture by showing that in fact any non-trivial channel suffices.

2020

ASIACRYPT

Efficient Fully Secure Computation via Distributed Zero-Knowledge Proofs
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Abstract

Secure computation protocols enable mutually distrusting parties to compute a function of their private inputs while revealing nothing but the output.
Protocols with {\em full security} (also known as {\em guaranteed output delivery}) in particular protect against denial-of-service attacks, guaranteeing that honest parties receive a correct output. This feature can be realized in the presence of an honest majority, and significant research effort has gone toward attaining full security with good asymptotic and concrete efficiency.
We present a fully secure protocol for {\em any constant} number of parties $n$ and $t<n/2$ corruptions that achieves full security with the {\em same amortized communication} as for semi-honest security: $\frac{3t}{2t+1}|C| + o(|C|)$ $R$-elements per party ($\approx 1.5$ $R$-elements), for a circuit with $|C|$ multiplication gates over either a finite field $R=\FF$ or over the ring $R=\Z_{2^k}$.
Our techniques include new methods for utilizing the distributed zero-knowledge proofs of Boneh {\em et al.} (CRYPTO 2019) for both distributed verifiers {\em and} provers. As a secondary contribution, we show that similar techniques can be used to compile the best known honest-majority protocols for an arbitrary (super-constant) number of semi-honest parties into ones that achieve {\em security with abort} against malicious parties, with sublinear additive cost.
We present an efficient protocol for {\em any constant} number of parties $n$, with full security against $t<n/2$ corrupted parties, that makes a black-box use of a pseudorandom generator. Our protocol evaluates an arithmetic circuit $C$ over a finite ring $R$ (either a finite field or $R=\Z_{2^k}$) with communication complexity of $\frac{3t}{2t+1}S + o(S)$ $R$-elements per party, where $S$ is the number of multiplication gates in $C$ (namely, $<1.5$ elements per party per gate). This matches the best known protocols for the semi-honest model up to the sublinear additive term. For a small number of parties $n$, this improves over a recent protocol of Goyal {\em et al.} (Crypto 2020) by a constant factor for circuits over large fields, and by at least an $\Omega(\log n)$ factor for Boolean circuits or circuits over rings.
Our protocol provides new methods for applying the distributed zero-knowledge proofs of Boneh {\em et al.}~(Crypto 2019), which only require logarithmic communication, for compiling semi-honest protocols into fully secure ones in the more challenging case of $t>1$ corrupted parties.
%Similarly to the recent fully secure 3-party protocol of Boyle {\em et al.} (CCS 2019), our protocol builds on the sublinear-communication distributed zero-knowledge proofs of Boneh {\em et al.} (Crypto 2019) to compile any ``natural'' semi-honest protocol into a fully secure protocol. However, applying this tool with $t>1$ corrupted parties introduces several nontrivial challenges that we overcome in this work.
Our protocol relies on {\em replicated secret sharing} to minimize communication and simplify the mechanism for achieving full security. This results in computational cost that scales exponentially with $n$.
Our main protocol builds on a new honest-majority protocol for verifying the correctness of multiplication triples by making a {\em general} use of distributed zero-knowledge proofs. While the protocol only achieves the weaker notion of {\em security with abort}, it applies to any linear secret-sharing scheme and provides a conceptually simpler, more general, and more efficient alternative to previous protocols from the literature. In particular, it can be combined with the Fiat-Shamir heuristic to simultaneously achieve logarithmic communication complexity and constant round complexity.

2019

CRYPTO

Cryptographic Sensing
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Abstract

Is it possible to measure a physical object in a way that makes the measurement signals unintelligible to an external observer? Alternatively, can one learn a natural concept by using a contrived training set that makes the labeled examples useless without the line of thought that has led to their choice? We initiate a study of “cryptographic sensing” problems of this type, presenting definitions, positive and negative results, and directions for further research.

2019

CRYPTO

Unconditionally Secure Computation Against Low-Complexity Leakage
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Abstract

We consider the problem of constructing leakage-resilient circuit compilers that are secure against global leakage functions with bounded output length. By global, we mean that the leakage can depend on all circuit wires and output a low-complexity function (represented as a multi-output Boolean circuit) applied on these wires. In this work, we design compilers both in the stateless (a.k.a. single-shot leakage) setting and the stateful (a.k.a. continuous leakage) setting that are unconditionally secure against $$\mathsf {AC}^0$$ leakage and similar low-complexity classes.In the stateless case, we show that the original private circuits construction of Ishai, Sahai, and Wagner (Crypto 2003) is actually secure against $$\mathsf {AC}^0$$ leakage. In the stateful case, we modify the construction of Rothblum (Crypto 2012), obtaining a simple construction with unconditional security. Prior works that designed leakage-resilient circuit compilers against $$\mathsf {AC}^0$$ leakage had to rely either on secure hardware components (Faust et al., Eurocrypt 2010, Miles-Viola, STOC 2013) or on (unproven) complexity-theoretic assumptions (Rothblum, Crypto 2012).

2019

CRYPTO

Trapdoor Hash Functions and Their Applications
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Abstract

We introduce a new primitive, called trapdoor hash functions (TDH), which are hash functions $$\mathsf {H}: \{0,1\}^n \rightarrow \{0,1\}^\lambda $$ with additional trapdoor function-like properties. Specifically, given an index $$i\in [n]$$, TDHs allow for sampling an encoding key $$\mathsf {ek}$$ (that hides i) along with a corresponding trapdoor. Furthermore, given $$\mathsf {H}(x)$$, a hint value $$\mathsf {E}(\mathsf {ek},x)$$, and the trapdoor corresponding to $$\mathsf {ek}$$, the $$i^{th}$$ bit of x can be efficiently recovered. In this setting, one of our main questions is: How small can the hint value $$\mathsf {E}(\mathsf {ek},x)$$ be? We obtain constructions where the hint is only one bit long based on DDH, QR, DCR, or LWE.This primitive opens a floodgate of applications for low-communication secure computation. We mainly focus on two-message protocols between a receiver and a sender, with private inputs x and y, resp., where the receiver should learn f(x, y). We wish to optimize the (download) rate of such protocols, namely the asymptotic ratio between the size of the output and the sender’s message. Using TDHs, we obtain:1.The first protocols for (two-message) rate-1 string OT based on DDH, QR, or LWE. This has several useful consequences, such as:(a)The first constructions of PIR with communication cost poly-logarithmic in the database size based on DDH or QR. These protocols are in fact rate-1 when considering block PIR.(b)The first constructions of a semi-compact homomorphic encryption scheme for branching programs, where the encrypted output grows only with the program length, based on DDH or QR.(c)The first constructions of lossy trapdoor functions with input to output ratio approaching 1 based on DDH, QR or LWE.(d)The first constant-rate LWE-based construction of a 2-message “statistically sender-private” OT protocol in the plain model.2.The first rate-1 protocols (under any assumption) for n parallel OTs and matrix-vector products from DDH, QR or LWE.
We further consider the setting where f evaluates a RAM program y with running time $$T\ll |x|$$ on x. We obtain the first protocols with communication sublinear in the size of x, namely $$T\cdot \sqrt{|x|}$$ or $$T\cdot \root 3 \of {|x|}$$, based on DDH or, resp., pairings (and correlated-input secure hash functions).

2019

CRYPTO

Zero-Knowledge Proofs on Secret-Shared Data via Fully Linear PCPs
📺
Abstract

We introduce and study the notion of fully linear probabilistically checkable proof systems. In such a proof system, the verifier can make a small number of linear queries that apply jointly to the input and a proof vector.Our new type of proof system is motivated by applications in which the input statement is not fully available to any single verifier, but can still be efficiently accessed via linear queries. This situation arises in scenarios where the input is partitioned or secret-shared between two or more parties, or alternatively is encoded using an additively homomorphic encryption or commitment scheme. This setting appears in the context of secure messaging platforms, verifiable outsourced computation, PIR writing, private computation of aggregate statistics, and secure multiparty computation (MPC). In all these applications, there is a need for fully linear proof systems with short proofs.While several efficient constructions of fully linear proof systems are implicit in the interactive proofs literature, many questions about their complexity are open. We present several new constructions of fully linear zero-knowledge proof systems with sublinear proof size for “simple” or “structured” languages. For example, in the non-interactive setting of fully linear PCPs, we show how to prove that an input vector $$x\in {\mathbb {F}}^n$$, for a finite field $${\mathbb {F}}$$, satisfies a single degree-2 equation with a proof of size $$O(\sqrt{n})$$ and $$O(\sqrt{n})$$ linear queries, which we show to be optimal. More generally, for languages that can be recognized by systems of constant-degree equations, we can reduce the proof size to $$O(\log n)$$ at the cost of $$O(\log n)$$ rounds of interaction.We use our new proof systems to construct new short zero-knowledge proofs on distributed and secret-shared data. These proofs can be used to improve the performance of the example systems mentioned above.Finally, we observe that zero-knowledge proofs on distributed data provide a general-purpose tool for protecting MPC protocols against malicious parties. Applying our short fully linear PCPs to “natural” MPC protocols in the honest-majority setting, we can achieve unconditional protection against malicious parties with sublinear additive communication cost. We use this to improve the communication complexity of recent honest-majority MPC protocols. For instance, using any pseudorandom generator, we obtain a 3-party protocol for Boolean circuits in which the amortized communication cost is only one bit per AND gate per party (compared to 10 bits in the best previous protocol), matching the best known protocols for semi-honest parties.

2019

CRYPTO

Reusable Non-Interactive Secure Computation
📺
Abstract

We consider the problem of Non-Interactive Two-Party Secure Computation (NISC), where Rachel wishes to publish an encryption of her input x, in such a way that any other party, who holds an input y, can send her a single message which conveys to her the value f(x, y), and nothing more. We demand security against malicious parties. While such protocols are easy to construct using garbled circuits and general non-interactive zero-knowledge proofs, this approach inherently makes a non-black-box use of the underlying cryptographic primitives and is infeasible in practice.Ishai et al. (Eurocrypt 2011) showed how to construct NISC protocols that only use parallel calls to an ideal oblivious transfer (OT) oracle, and additionally make only a black-box use of any pseudorandom generator. Combined with the efficient 2-message OT protocol of Peikert et al. (Crypto 2008), this leads to a practical approach to NISC that has been implemented in subsequent works. However, a major limitation of all known OT-based NISC protocols is that they are subject to selective failure attacks that allows a malicious sender to entirely compromise the security of the protocol when the receiver’s first message is reused.Motivated by the failure of the OT-based approach, we consider the problem of basing reusable NISC on parallel invocations of a standard arithmetic generalization of OT known as oblivious linear-function evaluation (OLE). We obtain the following results:We construct an information-theoretically secure reusable NISC protocol for arithmetic branching programs and general zero-knowledge functionalities in the OLE-hybrid model. Our zero-knowledge protocol only makes an absolute constant number of OLE calls per gate in an arithmetic circuit whose satisfiability is being proved. We also get reusable NISC in the OLE-hybrid model for general Boolean circuits using any one-way function.We complement this by a negative result, showing that reusable NISC is impossible to achieve in the OT-hybrid model. This provides a formal justification for the need to replace OT by OLE.We build a universally composable 2-message reusable OLE protocol in the CRS model that can be based on the security of Paillier encryption and requires only a constant number of modular exponentiations. This provides the first arithmetic analogue of the 2-message OT protocols of Peikert et al. (Crypto 2008).By combining our NISC protocol in the OLE-hybrid model and the 2-message OLE protocol, we get protocols with new attractive asymptotic and concrete efficiency features. In particular, we get the first (designated-verifier) NIZK protocols for NP where following a statement-independent preprocessing, both proving and verifying are entirely “non-cryptographic” and involve only a constant computational overhead. Furthermore, we get the first statistical designated-verifier NIZK argument for NP under an assumption related to factoring.

2019

CRYPTO

Efficient Pseudorandom Correlation Generators: Silent OT Extension and More
📺
Abstract

Secure multiparty computation (MPC) often relies on correlated randomness for better efficiency and simplicity. This is particularly useful for MPC with no honest majority, where input-independent correlated randomness enables a lightweight “non-cryptographic” online phase once the inputs are known. However, since the amount of randomness typically scales with the circuit size of the function being computed, securely generating correlated randomness forms an efficiency bottleneck, involving a large amount of communication and storage.A natural tool for addressing the above limitations is a pseudorandom correlation generator (PCG). A PCG allows two or more parties to securely generate long sources of useful correlated randomness via a local expansion of correlated short seeds and no interaction. PCGs enable MPC with silent preprocessing, where a small amount of interaction used for securely sampling the seeds is followed by silent local generation of correlated pseudorandomness.A concretely efficient PCG for Vector-OLE correlations was recently obtained by Boyle et al. (CCS 2018) based on variants of the learning parity with noise (LPN) assumption over large fields. In this work, we initiate a systematic study of PCGs and present concretely efficient constructions for several types of useful MPC correlations. We obtain the following main contributions:PCG foundations. We give a general security definition for PCGs. Our definition suffices for any MPC protocol satisfying a stronger security requirement that is met by existing protocols. We prove that a stronger security requirement is indeed necessary, and justify our PCG definition by ruling out a stronger and more natural definition.Silent OT extension. We present the first concretely efficient PCG for oblivious transfer correlations. Its security is based on a variant of the binary LPN assumption and any correlation-robust hash function. We expect it to provide a faster alternative to the IKNP OT extension protocol (Crypto 2003) when communication is the bottleneck. We present several applications, including protocols for non-interactive zero-knowledge with bounded-reusable preprocessing from binary LPN, and concretely efficient related-key oblivious pseudorandom functions.PCGs for simple 2-party correlations. We obtain PCGs for several other types of useful 2-party correlations, including (authenticated) one-time truth-tables and Beaver triples. While the latter PCGs are slower than our PCG for OT, they are still practically feasible. These PCGs are based on a host of assumptions and techniques, including specialized homomorphic secret sharing schemes and pseudorandom generators tailored to their structure.Multiparty correlations. We obtain PCGs for multiparty correlations that can be used to make the (input-dependent) online communication of MPC protocols scale linearly with the number of parties, instead of quadratically.

2019

TCC

On Fully Secure MPC with Solitary Output
Abstract

We study the possibility of achieving full security, with guaranteed output delivery, for secure multiparty computation of functionalities where only one party receives output, to which we refer as solitary functionalities. In the standard setting where all parties receive an output, full security typically requires an honest majority; otherwise even just achieving fairness is impossible. However, for solitary functionalities, fairness is clearly not an issue. This raises the following question: Is full security with no honest majority possible for all solitary functionalities?We give a negative answer to this question, by showing the existence of solitary functionalities that cannot be computed with full security. While such a result cannot be proved using fairness-based arguments, our proof builds on the classical proof technique of Cleve (STOC 1986) for ruling out fair coin-tossing and extends it in a nontrivial way.On the positive side, we show that full security against any number of malicious parties is achievable for many natural and useful solitary functionalities, including ones for which the multi-output version cannot be realized with full security.

2019

TCC

Secure Computation with Preprocessing via Function Secret Sharing
Abstract

We propose a simple and powerful new approach for secure computation with input-independent preprocessing, building on the general tool of function secret sharing (FSS) and its efficient instantiations. Using this approach, we can make efficient use of correlated randomness to compute any type of gate, as long as a function class naturally corresponding to this gate admits an efficient FSS scheme. Our approach can be viewed as a generalization of the “TinyTable” protocol of Damgård et al. (Crypto 2017), where our generalized variant uses FSS to achieve exponential efficiency improvement for useful types of gates.By instantiating this general approach with efficient PRG-based FSS schemes of Boyle et al. (Eurocrypt 2015, CCS 2016), we can implement useful nonlinear gates for equality tests, integer comparison, bit-decomposition and more with optimal online communication and with a relatively small amount of correlated randomness. We also provide a unified and simplified view of several existing protocols in the preprocessing model via the FSS framework.Our positive results provide a useful tool for secure computation tasks that involve secure integer comparisons or conversions between arithmetic and binary representations. These arise in the contexts of approximating real-valued functions, machine-learning classification, and more. Finally, we study the necessity of the FSS machinery that we employ, in the simple context of secure string equality testing. First, we show that any “online-optimal” secure equality protocol implies an FSS scheme for point functions, which in turn implies one-way functions. Then, we show that information-theoretic secure equality protocols with relaxed optimality requirements would follow from the existence of big families of “matching vectors.” This suggests that proving strong lower bounds on the efficiency of such protocols would be difficult.

2018

CRYPTO

Limits of Practical Sublinear Secure Computation
📺
Abstract

Secure computations on big data call for protocols that have sublinear communication complexity in the input length. While fully homomorphic encryption (FHE) provides a general solution to the problem, employing it on a large scale is currently quite far from being practical. This is also the case for secure computation tasks that reduce to weaker forms of FHE such as “somewhat homomorphic encryption” or single-server private information retrieval (PIR).Quite unexpectedly, Aggarwal, Mishra, and Pinkas (Eurocrypt 2004), Brickell and Shmatikov (Asiacrypt 2005), and Shelat and Venkitasubramaniam (Asiacrypt 2015) have shown that in several natural instances of secure computation on big data, there are practical sublinear communication protocols that only require sublinear local computation and minimize the use of expensive public-key operations. This raises the question of whether similar protocols exist for other natural problems.In this paper we put forward a framework for separating “practical” sublinear protocols from “impractical” ones, and establish a methodology for identifying “provably hard” big-data problems that do not admit practical protocols. This is akin to the use of NP-completeness to separate hard algorithmic problems from easy ones. We show that while the previous protocols of Aggarwal et al., Brickell and Shmatikov, and Shelat and Venkitasubramaniam are indeed classified as being “practical” in this framework, slight variations of the problems they solve and other natural computational problems on big data are hard.Our negative results are established by showing that the problem at hand is “PIR-hard” in the sense that any secure protocol for the problem implies PIR on a large database. This imposes a barrier on the local computational cost of secure protocols for the problem. We also identify a new natural relaxation of PIR that we call semi-PIR, which is useful for establishing “intermediate hardness” of several practically motivated secure computation tasks. We show that semi-PIR implies slightly sublinear PIR via an adaptive black-box reduction and that ruling out a stronger black-box reduction would imply a major breakthrough in complexity theory. We also establish information-theoretic separations between semi-PIR and PIR, showing that some problems that we prove to be semi-PIR-hard are not PIR-hard.

2018

CRYPTO

Private Circuits: A Modular Approach
📺
Abstract

We consider the problem of protecting general computations against constant-rate random leakage. That is, the computation is performed by a randomized boolean circuit that maps a randomly encoded input to a randomly encoded output, such that even if the value of every wire is independently leaked with some constant probability
$$p > 0$$
p>0, the leakage reveals essentially nothing about the input.In this work we provide a conceptually simple, modular approach for solving the above problem, providing a simpler and self-contained alternative to previous constructions of Ajtai (STOC 2011) and Andrychowicz et al. (Eurocrypt 2016). We also obtain several extensions and generalizations of this result. In particular, we show that for every leakage probability
$$p<1$$
p<1, there is a finite basis
$$\mathbb {B}$$
B such that leakage-resilient computation with leakage probability p can be realized using circuits over the basis
$$\mathbb {B}$$
B. We obtain similar positive results for the stronger notion of leakage tolerance, where the input is not encoded, but the leakage from the entire computation can be simulated given random
$$p'$$
p′-leakage of input values alone, for any
$$p<p'<1$$
p<p′<1. Finally, we complement this by a negative result, showing that for every basis
$$\mathbb {B}$$
B there is some leakage probability
$$p<1$$
p<1 such that for any
$$p'<1$$
p′<1, leakage tolerance as above cannot be achieved in general.We show that our modular approach is also useful for protecting computations against worst case leakage. In this model, we require that leakage of any
$$\mathbf{t}$$
t (adversarially chosen) wires reveal nothing about the input. By combining our construction with a previous derandomization technique of Ishai et al. (ICALP 2013), we show that security in this setting can be achieved with
$$O(\mathbf{t}^{1+\varepsilon })$$
O(t1+ε) random bits, for every constant
$$\varepsilon > 0$$
ε>0. This (near-optimal) bound significantly improves upon previous constructions that required more than
$$\mathbf{t}^{3}$$
t3 random bits.

2018

CRYPTO

On the Local Leakage Resilience of Linear Secret Sharing Schemes
📺
Abstract

We consider the following basic question: to what extent are standard secret sharing schemes and protocols for secure multiparty computation that build on them resilient to leakage? We focus on a simple local leakage model, where the adversary can apply an arbitrary function of a bounded output length to the secret state of each party, but cannot otherwise learn joint information about the states.We show that additive secret sharing schemes and high-threshold instances of Shamir’s secret sharing scheme are secure under local leakage attacks when the underlying field is of a large prime order and the number of parties is sufficiently large. This should be contrasted with the fact that any linear secret sharing scheme over a small characteristic field is clearly insecure under local leakage attacks, regardless of the number of parties. Our results are obtained via tools from Fourier analysis and additive combinatorics.We present two types of applications of the above results and techniques. As a positive application, we show that the “GMW protocol” for honest-but-curious parties, when implemented using shared products of random field elements (so-called “Beaver Triples”), is resilient in the local leakage model for sufficiently many parties and over certain fields. This holds even when the adversary has full access to a constant fraction of the views. As a negative application, we rule out multi-party variants of the share conversion scheme used in the 2-party homomorphic secret sharing scheme of Boyle et al. (Crypto 2016).

2018

PKC

On the Message Complexity of Secure Multiparty Computation
Abstract

We study the minimal number of point-to-point messages required for general secure multiparty computation (MPC) in the setting of computational security against semi-honest, static adversaries who may corrupt an arbitrary number of parties.We show that for functionalities that take inputs from n parties and deliver outputs to k parties, $$2n+k-3$$2n+k-3 messages are necessary and sufficient. The negative result holds even when given access to an arbitrary correlated randomness setup. The positive result can be based on any 2-round MPC protocol (which can in turn can be based on 2-message oblivious transfer), or on a one-way function given a correlated randomness setup.

2018

TCC

Two-Round MPC: Information-Theoretic and Black-Box
Abstract

We continue the study of protocols for secure multiparty computation (MPC) that require only two rounds of interaction. The recent works of Garg and Srinivasan (Eurocrypt 2018) and Benhamouda and Lin (Eurocrypt 2018) essentially settle the question by showing that such protocols are implied by the minimal assumption that a two-round oblivious transfer (OT) protocol exists. However, these protocols inherently make a non-black-box use of the underlying OT protocol, which results in poor concrete efficiency. Moreover, no analogous result was known in the information-theoretic setting, or alternatively based on one-way functions, given an OT correlations setup or an honest majority.Motivated by these limitations, we study the possibility of obtaining information-theoretic and “black-box” implementations of two-round MPC protocols. We obtain the following results:Two-round MPC from OT correlations. Given an OT correlations setup, we get protocols that make a black-box use of a pseudorandom generator (PRG) and are secure against a malicious adversary corrupting an arbitrary number of parties. For a semi-honest adversary, we get similar information-theoretic protocols for branching programs.New NIOT constructions. Towards realizing OT correlations, we extend the DDH-based non-interactive OT (NIOT) protocol of Bellare and Micali (Crypto’89) to the malicious security model, and present new NIOT constructions from the Quadratic Residuosity Assumption (QRA) and the Learning With Errors (LWE) assumption.Two-round black-box MPC with strong PKI setup. Combining the two previous results, we get two-round MPC protocols that make a black-box use of any DDH-hard or QRA-hard group. The protocols can offer security against a malicious adversary, and require a PKI setup that depends on the number of parties and the size of computation, but not on the inputs or the identities of the participating parties.Two-round honest-majority MPC from secure channels. Given secure point-to-point channels, we get protocols that make a black-box use of a pseudorandom generator (PRG), as well as information-theoretic protocols for branching programs. These protocols can tolerate a semi-honest adversary corrupting a strict minority of the parties, where in the information-theoretic case the complexity is exponential in the number of parties.

2018

TCC

Best Possible Information-Theoretic MPC
Abstract

We reconsider the security guarantee that can be achieved by general protocols for secure multiparty computation in the most basic of settings: information-theoretic security against a semi-honest adversary. Since the 1980s, we have elegant solutions to this problem that offer full security, as long as the adversary controls a minority of the parties, but fail completely when that threshold is crossed. In this work, we revisit this problem, questioning the optimality of the standard notion of security. We put forward a new notion of information-theoretic security which is strictly stronger than the standard one, and which we argue to be “best possible.” This notion still requires full security against dishonest minority in the usual sense, and adds a meaningful notion of information-theoretic security even against dishonest majority.We present protocols for useful classes of functions that satisfy this new notion of security. Our protocols have the unique feature of combining the efficiency benefits of protocols for an honest majority and (most of) the security benefits of protocols for dishonest majority. We further extend some of the solutions to the malicious setting.

2018

TCC

Exploring Crypto Dark Matter:
Abstract

Pseudorandom functions (PRFs) are one of the fundamental building blocks in cryptography. Traditionally, there have been two main approaches for PRF design: the “practitioner’s approach” of building concretely-efficient constructions based on known heuristics and prior experience, and the “theoretician’s approach” of proposing constructions and reducing their security to a previously-studied hardness assumption. While both approaches have their merits, the resulting PRF candidates vary greatly in terms of concrete efficiency and design complexity.In this work, we depart from these traditional approaches by exploring a new space of plausible PRF candidates. Our guiding principle is to maximize simplicity while optimizing complexity measures that are relevant to cryptographic applications. Our primary focus is on weak PRFs computable by very simple circuits—specifically, depth-2$$\mathsf {ACC}^0$$ circuits. Concretely, our main weak PRF candidate is a “piecewise-linear” function that first applies a secret mod-2 linear mapping to the input, and then a public mod-3 linear mapping to the result. We also put forward a similar depth-3 strong PRF candidate.The advantage of our approach is twofold. On the theoretical side, the simplicity of our candidates enables us to draw many natural connections between their hardness and questions in complexity theory or learning theory (e.g., learnability of $$\mathsf {ACC}^0$$ and width-3 branching programs, interpolation and property testing for sparse polynomials, and new natural proof barriers for showing super-linear circuit lower bounds). On the applied side, the piecewise-linear structure of our candidates lends itself nicely to applications in secure multiparty computation (MPC). Using our PRF candidates, we construct protocols for distributed PRF evaluation that achieve better round complexity and/or communication complexity (often both) compared to protocols obtained by combining standard MPC protocols with PRFs like AES, LowMC, or Rasta (the latter two are specialized MPC-friendly PRFs).Finally, we introduce a new primitive we call an encoded-input PRF, which can be viewed as an interpolation between weak PRFs and standard (strong) PRFs. As we demonstrate, an encoded-input PRF can often be used as a drop-in replacement for a strong PRF, combining the efficiency benefits of weak PRFs and the security benefits of strong PRFs. We conclude by showing that our main weak PRF candidate can plausibly be boosted to an encoded-input PRF by leveraging standard error-correcting codes.

2017

ASIACRYPT

2015

JOFC

2015

CRYPTO

2010

EUROCRYPT

2005

CRYPTO

2004

JOFC

2000

CRYPTO

#### Program Committees

- Eurocrypt 2020 (Program chair)
- Eurocrypt 2019 (Program chair)
- Eurocrypt 2018
- TCC 2016
- PKC 2016
- TCC 2015
- Crypto 2014
- TCC 2013
- Crypto 2012
- TCC 2011 (Program chair)
- TCC 2009
- Crypto 2009
- PKC 2008
- Crypto 2008
- Eurocrypt 2007
- TCC 2007
- Crypto 2006
- TCC 2004
- Crypto 2004

#### Coauthors

- Shweta Agrawal (2)
- Thomas Agrikola (1)
- William Aiello (1)
- N. Nalla Anandakumar (1)
- Prabhanjan Ananth (1)
- Benny Applebaum (5)
- Saikrishna Badrinarayanan (1)
- Boaz Barak (1)
- Omer Barkol (2)
- Ohad Barta (1)
- Amos Beimel (5)
- Eli Ben-Sasson (1)
- Fabrice Benhamouda (3)
- Iddo Bentov (1)
- Eli Biham (1)
- Nir Bitansky (1)
- Andrej Bogdanov (4)
- Dan Boneh (4)
- Elette Boyle (14)
- Ran Canetti (2)
- Nishanth Chandran (1)
- Melissa Chase (1)
- Kuan Cheng (1)
- Alessandro Chiesa (1)
- Gil Cohen (1)
- Henry Corrigan-Gibbs (1)
- Geoffroy Couteau (4)
- Ronald Cramer (2)
- Giovanni Di Crescenzo (1)
- Ivan Damgård (10)
- Akshay Degwekar (2)
- Itai Dinur (1)
- Yevgeniy Dodis (1)
- Nico Döttling (1)
- Stefan Dziembowski (2)
- Serge Fehr (1)
- Michael J. Freedman (1)
- Ariel Gabizon (1)
- Juan A. Garay (2)
- Sanjam Garg (4)
- Daniel Genkin (3)
- Rosario Gennaro (1)
- Craig Gentry (1)
- Niv Gilboa (14)
- Steven Goldfeder (1)
- S. Dov Gordon (1)
- Yaron J. Goren (1)
- Vipul Goyal (2)
- Jens Groth (2)
- Divya Gupta (2)
- Iftach Haitner (2)
- Shai Halevi (5)
- Danny Harnik (2)
- Carmit Hazay (1)
- Dennis Hofheinz (1)
- Matthew M. Hong (1)
- Abhishek Jain (1)
- Stanislaw Jarecki (1)
- Mahimna Kelkar (1)
- Dakshita Khurana (1)
- Joe Kilian (1)
- Lisa Kohl (3)
- Jonas Kölker (1)
- Victor I. Kolobov (1)
- Ilan Komargodski (1)
- Daniel Kraschewski (1)
- Mikkel Krøigaard (1)
- Mikkel Krøigaard (1)
- Abishek Kumarasubramanian (1)
- Ranjit Kumaresan (3)
- Eyal Kushilevitz (26)
- Russell W. F. Lai (2)
- Xin Li (1)
- Yehuda Lindell (1)
- Tianren Liu (1)
- Mohammad Mahmoody (2)
- Hemanta K. Maji (1)
- Nikolaos Makriyannis (1)
- Giulio Malavolta (2)
- Tal Malkin (4)
- Sigurd Meldgaard (2)
- Peter Bro Miltersen (1)
- Manika Mittal (1)
- Tal Moran (1)
- Tamer Mour (1)
- Varun Narayanan (2)
- Michael Nielsen (1)
- Jesper Buus Nielsen (2)
- Kobbi Nissim (1)
- Ariel Nof (3)
- Eran Omri (1)
- Claudio Orlandi (2)
- Rafail Ostrovsky (15)
- Omkant Pandey (1)
- Omer Paneth (1)
- Anat Paskin (2)
- Anat Paskin-Cherniavsky (3)
- Rafael Pass (1)
- Alain Passelègue (1)
- Chris Peikert (1)
- Erez Petrank (2)
- Benny Pinkas (1)
- Antigoni Polychroniadou (2)
- Vinod Prabhakaran (1)
- Manoj Prabhakaran (8)
- Vinod M. Prabhakaran (1)
- Tal Rabin (5)
- Mayank Rathee (1)
- Ran Raz (1)
- Omer Reingold (2)
- Noga Ron-Zewi (1)
- Alon Rosen (2)
- Ron D. Rothblum (1)
- Amit Sahai (25)
- Peter Scholl (3)
- Hakan Seyalioglu (1)
- Ronen Shaltiel (1)
- Vivek Sharma (1)
- Adam Smith (2)
- Akshayaram Srinivasan (5)
- Vinod Vaikuntanathan (1)
- Ramarathnam Venkatesan (1)
- Muthuramakrishnan Venkitasubramaniam (1)
- Emanuele Viola (1)
- Akshay Wadia (2)
- David Wagner (2)
- Brent Waters (1)
- Hoeteck Wee (1)
- Enav Weinreb (1)
- Mor Weiss (4)
- Christopher Williamson (1)
- Mary Wootters (1)
- David J. Wu (4)
- Jürg Wullschleger (1)
- Guang Yang (1)
- Eylon Yogev (1)
- Ching-Hua Yu (1)
- Greg Zaverucha (1)
- Lior Zichron (1)
- Vassilis Zikas (2)