IACR News
Updates on the COVID-19 situation are on the
Announcement channel.
Here you can see all recent updates to the IACR webpage. These updates are also available:
06 May 2024
Alex Charlès, Aleksei Udovenko
In white-box cryptography, early protection techniques have fallen to the automated Differential Computation Analysis attack (DCA), leading to new countermeasures and attacks. A standard side-channel countermeasure, Ishai-Sahai-Wagner's masking scheme (ISW, CRYPTO 2003) prevents Differential Computation Analysis but was shown to be vulnerable in the white-box context to the Linear Decoding Analysis attack (LDA). However, recent quadratic and cubic masking schemes by Biryukov-Udovenko (ASIACRYPT 2018) and Seker-Eisenbarth-Liskiewicz (CHES 2021) prevent LDA and force to use its higher-degree generalizations with much higher complexity.
In this work, we study the relationship between the security of these and related schemes to the Learning Parity with Noise (LPN) problem and propose a new automated attack by applying an LPN-solving algorithm to white-box implementations. The attack effectively exploits strong linear approximations of the masking scheme and thus can be seen as a combination of the DCA and LDA techniques. Different from previous attacks, the complexity of this algorithm depends on the approximation error, henceforth allowing new practical attacks on masking schemes that previously resisted automated analysis. We demonstrate it theoretically and experimentally, exposing multiple cases where the LPN-based method significantly outperforms LDA and DCA methods, including their higher-order variants.
This work applies the LPN problem beyond its usual post-quantum cryptography boundary, strengthening its interest in the cryptographic community, while expanding the range of automated attacks by presenting a new direction for breaking masking schemes in the white-box model.
In this work, we study the relationship between the security of these and related schemes to the Learning Parity with Noise (LPN) problem and propose a new automated attack by applying an LPN-solving algorithm to white-box implementations. The attack effectively exploits strong linear approximations of the masking scheme and thus can be seen as a combination of the DCA and LDA techniques. Different from previous attacks, the complexity of this algorithm depends on the approximation error, henceforth allowing new practical attacks on masking schemes that previously resisted automated analysis. We demonstrate it theoretically and experimentally, exposing multiple cases where the LPN-based method significantly outperforms LDA and DCA methods, including their higher-order variants.
This work applies the LPN problem beyond its usual post-quantum cryptography boundary, strengthening its interest in the cryptographic community, while expanding the range of automated attacks by presenting a new direction for breaking masking schemes in the white-box model.
Elijah Pelofske, Vincent Urias, Lorie M. Liebrock
Generative pre-trained transformers (GPT's) are a type of large language machine learning model that are unusually adept at producing novel, and coherent, natural language. Notably, these technologies have also been extended to computer programming languages with great success. However, GPT model outputs in general are stochastic and not always correct. For programming languages, the exact specification of the computer code, syntactically and algorithmically, is strictly required in order to ensure the security of computing systems and applications. Therefore, using GPT models to generate computer code poses an important security risk -- while at the same time allowing for potential innovation in how computer code is generated. In this study the ability of GPT models to generate novel and correct versions, and notably very insecure versions, of implementations of the cryptographic hash function SHA-1 is examined. The GPT models Llama-2-70b-chat-hf, Mistral-7B-Instruct-v0.1, and zephyr-7b-alpha are used. The GPT models are prompted to re-write each function using a modified version of the localGPT framework and langchain to provide word embedding context of the full source code and header files to the model, resulting in over $130,000$ function re-write GPT output text blocks (that are potentially correct source code), approximately $40,000$ of which were able to be parsed as C code and subsequently compiled. The generated code is analyzed for being compilable, correctness of the algorithm, memory leaks, compiler optimization stability, and character distance to the reference implementation. Remarkably, several generated function variants have a high implementation security risk of being correct for some test vectors, but incorrect for other test vectors. Additionally, many function implementations were not correct to the reference algorithm of SHA-1, but produced hashes that have some of the basic characteristics of hash functions. Many of the function re-writes contained serious flaws such as memory leaks, integer overflows, out of bounds accesses, use of uninitialised values, and compiler optimization instability. Compiler optimization settings and SHA-256 hash checksums of the compiled binaries are used to cluster implementations that are equivalent but may not have identical syntax - using this clustering over $100,000$ distinct, novel, and correct versions of the SHA-1 codebase were generated where each component C function of the reference implementation is different from the original code.
Hoeteck Wee, David J. Wu
A functional commitment allows a user to commit to an input $\mathbf{x}$ and later, open the commitment to an arbitrary function $\mathbf{y} = f(\mathbf{x})$. The size of the commitment and the opening should be sublinear in $|\mathbf{x}|$ and $|f|$.
In this work, we give the first pairing-based functional commitment for arbitrary circuits where the size of the commitment and the size of the opening consist of a constant number of group elements. Security relies on the standard bilateral $k$-$\mathsf{Lin}$ assumption. This is the first scheme with this level of succinctness from falsifiable bilinear map assumptions (previous approaches required SNARKs for $\mathsf{NP}$). This is also the first functional commitment scheme for general circuits with $\mathsf{poly}(\lambda)$-size commitments and openings from any assumption that makes fully black-box use of cryptographic primitives and algorithms. As an immediate consequence, we also obtain a succinct non-interactive argument for arithmetic circuits (i.e., a SNARG for $\mathsf{P}/\mathsf{poly}$) with a universal setup and where the proofs consist of a constant number of group elements. In particular, the CRS in our SNARG only depends on the size of the arithmetic circuit $|C|$ rather than the circuit $C$ itself; the same CRS can be used to verify computations with respect to different circuits. Our construction relies on a new notion of projective chainable commitments which may be of independent interest.
In this work, we give the first pairing-based functional commitment for arbitrary circuits where the size of the commitment and the size of the opening consist of a constant number of group elements. Security relies on the standard bilateral $k$-$\mathsf{Lin}$ assumption. This is the first scheme with this level of succinctness from falsifiable bilinear map assumptions (previous approaches required SNARKs for $\mathsf{NP}$). This is also the first functional commitment scheme for general circuits with $\mathsf{poly}(\lambda)$-size commitments and openings from any assumption that makes fully black-box use of cryptographic primitives and algorithms. As an immediate consequence, we also obtain a succinct non-interactive argument for arithmetic circuits (i.e., a SNARG for $\mathsf{P}/\mathsf{poly}$) with a universal setup and where the proofs consist of a constant number of group elements. In particular, the CRS in our SNARG only depends on the size of the arithmetic circuit $|C|$ rather than the circuit $C$ itself; the same CRS can be used to verify computations with respect to different circuits. Our construction relies on a new notion of projective chainable commitments which may be of independent interest.
Nicholas Brandt
Understanding the computational hardness of Kolmogorov complexity is a central open question in complexity theory.
An important notion is Levin's version of Kolmogorov complexity, Kt, and its decisional variant, MKtP,
due to its connections to universal search, derandomization, and oneway functions, among others.
The question whether MKtP can be computed in polynomial time is particularly interesting because it is not subject to known technical barriers such as algebrization or natural proofs that would explain the lack of a proof for MKtP not in P.
We take a significant step towards proving MKtP not in P by developing an algorithmic approach for showing unconditionally that MKtP not in DTIME[O(n)] cannot be decided in deterministic linear time in the worst-case. This allows us to partially affirm a conjecture by Ren and Santhanam [STACS:RS22] about a non-halting variant of Kt complexity. Additionally, we give conditional lower bounds for MKtP that tolerate either more runtime or one-sided error.
We take a significant step towards proving MKtP not in P by developing an algorithmic approach for showing unconditionally that MKtP not in DTIME[O(n)] cannot be decided in deterministic linear time in the worst-case. This allows us to partially affirm a conjecture by Ren and Santhanam [STACS:RS22] about a non-halting variant of Kt complexity. Additionally, we give conditional lower bounds for MKtP that tolerate either more runtime or one-sided error.
Ian Malloy
Introduced as a new protocol implemented in “Chrome Canary” for the Google Inc. Chrome browser,
“New Hope” is engineered as a post-quantum key exchange for the TLS 1.2 protocol. The structure of
the exchange is revised lattice-based cryptography. New Hope incorporates the key-encapsulation
mechanism of Peikert which itself is a modified Ring-LWE scheme. The search space used to introduce
the closest-vector problem is generated by an intersection of a tesseract and hexadecachoron, or the ℓ∞-
ball and ℓ1-ball respectively. This intersection results in the 24-cell ? of lattice ?̃4. With respect to the
density of the Voronoi cell ?, the proposed mitigation against backdoor attacks proposed by the authors
of New Hope may not withstand such attempts if enabled by a quantum computer capable of
implementing Grover’s search algorithm.
Nicolas Alhaddad, Leonid Reyzin, Mayank Varia
Asynchronous Verifiable Information Dispersal (AVID) allows a dealer to disperse a message $M$ across a collection of server replicas consistently and efficiently, such that any future client can reliably retrieve the message $M$ if some servers fail.
Since AVID was introduced by Cachin and Tessaro in 2005, several works improved the asymptotic communication complexity of AVID protocols.
However, recent gains in communication complexity have come at the expense of sub-optimal storage, which is the dominant cost in long-term archiving.
Moreover, recent works do not provide a mechanism to detect errors until the retrieval stage, which may result in completely wasted long-term storage if the dealer is malicious.
In this work, we contribute a new AVID construction that achieves optimal storage and guaranteed output delivery, without sacrificing on communication complexity during dispersal or retrieval. First, we introduce a technique that bootstraps from dispersal of a message with sub-optimal storage to one with optimal storage. Second, we define and construct an AVID protocol that is robust, meaning that all server replicas are guaranteed at dispersal time that their fragments will contribute toward retrieval of a valid message. Third, we add the new possibility that some server replicas may lose their fragment in between dispersal and retrieval (as is likely in the long-term archiving scenario). This allows us to rely on fewer available replicas for retrieval than are required for dispersal.
In this work, we contribute a new AVID construction that achieves optimal storage and guaranteed output delivery, without sacrificing on communication complexity during dispersal or retrieval. First, we introduce a technique that bootstraps from dispersal of a message with sub-optimal storage to one with optimal storage. Second, we define and construct an AVID protocol that is robust, meaning that all server replicas are guaranteed at dispersal time that their fragments will contribute toward retrieval of a valid message. Third, we add the new possibility that some server replicas may lose their fragment in between dispersal and retrieval (as is likely in the long-term archiving scenario). This allows us to rely on fewer available replicas for retrieval than are required for dispersal.
Lucien K. L. Ng, Panagiotis Chatzigiannis, Duc V. Le, Mohsen Minaei, Ranjit Kumaresan, Mahdi Zamani
In recent years, many blockchain systems have progressively transitioned to proof-of-stake (PoS) con- sensus algorithms. These algorithms are not only more energy efficient than proof-of-work but are also well-studied and widely accepted within the community. However, PoS systems are susceptible to a particularly powerful "long-range" attack, where an adversary can corrupt the validator set retroactively and present forked versions of the blockchain. These versions would still be acceptable to clients, thereby creating the potential for double-spending. Several methods and research efforts have proposed counter- measures against such attacks. Still, they often necessitate modifications to the underlying blockchain, introduce heavy assumptions such as centralized entities, or prove inefficient for securely bootstrapping light clients.
In this work, we propose a method of defending against these attacks with the aid of external servers running our protocol. Our method does not require any soft or hard-forks on the underlying blockchain and operates under reasonable assumptions, specifically the requirement of at least one honest server.
Central to our approach is a new primitive called "Insertable Proof of Sequential Work" (InPoSW). Traditional PoSW ensures that a server performs computational tasks that cannot be parallelized and require a minimum execution time, effectively timestamping the input data. InPoSW additionally allows the prover to "insert" new data into an ongoing InPoSW instance. This primitive can be of independent interest for other timestamp applications. Compared to naively adopting prior PoSW schemes for In-PoSW, our construction achieves >22× storage reduction on the server side and >17900× communication cost reduction for each verification.
Zhengjun Cao, Lihua Liu
We show the Seyhan-Akleylek key exchange protocol [J. Supercomput., 2023, 79:17859-17896] cannot resist offline dictionary attack and impersonation attack, not as claimed.
Wutichai Chongchitmate, Steve Lu, Rafail Ostrovsky
Private Set Intersection (PSI) is a protocol where two parties with individually held confidential sets want to jointly learn (or secret-share) the intersection of these two sets and reveal nothing else to each other. In this paper, we introduce a natural extension of this notion to approximate matching. Specifically, given a distance metric between elements, an approximate PSI (Approx-PSI) allows to run PSI where ``close'' elements match. Assuming that elements are either ``close'' or sufficiently ``far apart'', we present an Approx-PSI protocol for Hamming distance that dramatically improves the overall efficiency compared to all existing approximate-PSI solutions. In particular, we achieve a near-linear $\tilde{O}(n)$ communication complexity, an improvement over the previously best-known $\tilde{O}(n^2)$. We also show Approx-PSI protocols for Edit distance (also known as Levenstein distance), Euclidean distance and angular distance by deploying results on low distortion embeddings to Hamming distance. The latter two results further imply secure Approx-PSI for other metrics such as cosine similarity metric. Our Approx-PSI for Hamming distance is up to 20x faster and communicating 30% less than best known protocols when (1) matching small binary vectors; or (2) matching large threshold; or (3) matching large input sets. We demonstrate that the protocol can be used to match similar images through spread spectrum of the images.
Aloni Cohen, David Bruce Cousins, Nicholas Genise, Erik Kline, Yuriy Polyakov, Saraswathy RV
We construct an efficient proxy re-encryption (PRE) scheme secure against honest re-encryption attacks (HRA-secure) with precise concrete security estimates. To get these precise concrete security estimates, we introduce the tight, fine-grained noise-flooding techniques of Li et al. (CRYPTO'22) to RLWE-based (homomorphic) PRE schemes, as well as a mixed statistical-computational security to HRA security analysis. Our solution also supports homomorphic operations on the ciphertexts. Such homomorphism allows for advanced applications, e.g., encrypted computation of network statistics across networks and unlimited hops, in the case of full homomorphism, i.e., bootstrapping.
We implement our PRE scheme in the OpenFHE software library and apply it to a problem of secure multi-hop data distribution in the context of 5G virtual network slices. We also experimentally evaluate the performance of our scheme, demonstrating that the implementation is practical.
In addition, we compare our PRE method with other lattice-based PRE schemes and approaches to achieve HRA security. These achieve HRA security, but not in a tight, practical scheme such as our work. Further, we present an attack on the PRE scheme proposed in Davidson et al.'s (ACISP'19), which was claimed to achieve HRA security without noise flooding.
We implement our PRE scheme in the OpenFHE software library and apply it to a problem of secure multi-hop data distribution in the context of 5G virtual network slices. We also experimentally evaluate the performance of our scheme, demonstrating that the implementation is practical.
In addition, we compare our PRE method with other lattice-based PRE schemes and approaches to achieve HRA security. These achieve HRA security, but not in a tight, practical scheme such as our work. Further, we present an attack on the PRE scheme proposed in Davidson et al.'s (ACISP'19), which was claimed to achieve HRA security without noise flooding.
Ojaswi Acharya, Foteini Baldimtsi, Samuel Dov Gordon, Daniel McVicker, Aayush Yadav
We propose a new notion of vector commitment schemes with proofs of (non-)membership that we call universal vector commitments. We show how to build them directly from (i) Merkle commitments, and (ii) a universal accumulator and a plain vector commitment scheme. We also present a generic construction for universal accumulators over large domains from any vector commitment scheme, using cuckoo hashing. Leveraging the aforementioned generic constructions, we show that universal vector commitment schemes are implied by plain vector commitments and cuckoo hashing.
Martin Feussner, Igor Semaev
This work introduces DEFI - an efficient hash-and-sign digital signature scheme based on isotropic quadratic forms over a commutative ring of characteristic 0. The form is public, but the construction is a trapdoor that depends on the scheme's private key. For polynomial rings over integers and rings of integers of algebraic number fields, the cryptanalysis is reducible to solving a quadratic Diophantine equation over the ring or, equivalently, to solving a system of quadratic Diophantine equations over rational integers. It is still an open problem whether quantum computers will have any advantage in solving Diophantine problems.
Douglas Stebila, Spencer Wilson
WebAuthn is a passwordless authentication protocol which allows users to authenticate to online services using public-key cryptography. Users prove their identity by signing a challenge with a private key, which is stored on a device such as a cell phone or a USB security token. This approach avoids many of the common security problems with password-based authentication.
WebAuthn's reliance on proof-of-possession leads to a usability issue, however: a user who loses access to their authenticator device either loses access to their accounts or is required to fall back on a weaker authentication mechanism. To solve this problem, Yubico has proposed a protocol which allows a user to link two tokens in such a way that one (the primary authenticator) can generate public keys on behalf of the other (the backup authenticator). With this solution, users authenticate with a single token, only relying on their backup token if necessary for account recovery. However, Yubico's protocol relies on the hardness of the discrete logarithm problem for its security and hence is vulnerable to an attacker with a powerful enough quantum computer.
We present a WebAuthn recovery protocol which can be instantiated with quantum-safe primitives. We also critique the security model used in previous analysis of Yubico's protocol and propose a new framework which we use to evaluate the security of both the group-based and the quantum-safe protocol. This leads us to uncover a weakness in Yubico's proposal which escaped detection in prior work but was revealed by our model. In our security analysis, we require the cryptographic primitives underlying the protocols to satisfy a number of novel security properties such as KEM unlinkability, which we formalize. We prove that well-known quantum-safe algorithms, including CRYSTALS-Kyber, satisfy the properties required for analysis of our quantum-safe protocol.
WebAuthn's reliance on proof-of-possession leads to a usability issue, however: a user who loses access to their authenticator device either loses access to their accounts or is required to fall back on a weaker authentication mechanism. To solve this problem, Yubico has proposed a protocol which allows a user to link two tokens in such a way that one (the primary authenticator) can generate public keys on behalf of the other (the backup authenticator). With this solution, users authenticate with a single token, only relying on their backup token if necessary for account recovery. However, Yubico's protocol relies on the hardness of the discrete logarithm problem for its security and hence is vulnerable to an attacker with a powerful enough quantum computer.
We present a WebAuthn recovery protocol which can be instantiated with quantum-safe primitives. We also critique the security model used in previous analysis of Yubico's protocol and propose a new framework which we use to evaluate the security of both the group-based and the quantum-safe protocol. This leads us to uncover a weakness in Yubico's proposal which escaped detection in prior work but was revealed by our model. In our security analysis, we require the cryptographic primitives underlying the protocols to satisfy a number of novel security properties such as KEM unlinkability, which we formalize. We prove that well-known quantum-safe algorithms, including CRYSTALS-Kyber, satisfy the properties required for analysis of our quantum-safe protocol.
Sourav Das, Sisi Duan, Shengqi Liu, Atsuki Momose, Ling Ren, Victor Shoup
Byzantine consensus is a fundamental building block in distributed cryptographic problems. Despite decades of research, most existing asynchronous consensus protocols require a strong trusted setup and expensive public-key cryptography. In this paper, we study asynchronous Byzantine consensus protocols that do not rely on a trusted setup and do not use public-key cryptography such as digital signatures. We give an Asynchronous Common Subset (ACS) protocol whose security is only based on cryptographic hash functions modeled as a random oracle. Our protocol has $O(\kappa n^3)$ total communication and runs in expected $O(1)$ rounds. The fact that we use only cryptographic hash functions also means that our protocol is post-quantum secure. The minimal use of cryptography and the small number of rounds make our protocol practical. We implement our protocol and evaluate it in a geo-distributed setting with up to 128 machines. Our experimental evaluation shows that our protocol is more efficient than the only other setup-free consensus protocol that has been implemented to date. En route to our asynchronous consensus protocols, we also introduce new primitives called asynchronous secret key sharing and cover gather, which may be of independent interest.
03 May 2024
Karim Eldefrawy, Benjamin Terner, Moti Yung
Time-lock puzzles are unique cryptographic primitives that use computational complexity to keep information secret for some period of time, after which security expires. Unfortunately, current analysis techniques of time-lock primitives provide no sound mechanism to build multi-party cryptographic protocols which use expiring security as a building block. We explain in this paper that all other attempts at this subtle problem lack either composability, a fully consistent analysis, or functionality. The subtle flaws in the existing frameworks reduce to an impossibility by Mahmoody et al., who showed that time-lock puzzles with super-polynomial gaps (between committer and solver) cannot be constructed from random oracles alone; yet still the analyses of algebraic puzzles today treat the solving process as if each step is a generic or random oracle.
This paper presents a new complexity theoretic based framework and new structural theorems to analyze timed primitives with full generality and in composition (which is the central modular protocol design tool). The framework includes a model of security based on fine-grained circuit complexity which we call residual complexity, which accounts for possible leakage on timed primitives as they expire. Our definitions for multi-party computation protocols generalize the literature standards by accounting for fine-grained polynomial circuit depth to model computational hardness which expires in feasible time. Our composition theorems incur degradation of (fine-grained) security as items are composed. In our framework, simulators are given a polynomial “budget” for how much time they spend, and in composition these polynomials interact.
Finally, we demonstrate via a prototypical auction application how to apply our framework and theorems. For the first time, we show that it is possible to prove – in a way that is fully consistent, with falsifiable assumptions – properties of multi-party applications based on leaky, temporarily secure components.
This paper presents a new complexity theoretic based framework and new structural theorems to analyze timed primitives with full generality and in composition (which is the central modular protocol design tool). The framework includes a model of security based on fine-grained circuit complexity which we call residual complexity, which accounts for possible leakage on timed primitives as they expire. Our definitions for multi-party computation protocols generalize the literature standards by accounting for fine-grained polynomial circuit depth to model computational hardness which expires in feasible time. Our composition theorems incur degradation of (fine-grained) security as items are composed. In our framework, simulators are given a polynomial “budget” for how much time they spend, and in composition these polynomials interact.
Finally, we demonstrate via a prototypical auction application how to apply our framework and theorems. For the first time, we show that it is possible to prove – in a way that is fully consistent, with falsifiable assumptions – properties of multi-party applications based on leaky, temporarily secure components.
Scott Griffy, Markulf Kohlweiss, Anna Lysyanskaya, Meghna Sengupta
Introduced by Kohlweiss, Lysyanskaya, and Nguyen (Eurocrypt'23), an $f$-privacy-preserving blueprint (PPB) system allows an auditor with secret input $x$ to create a public encoding of the function $f(x,\cdot)$ that verifiably corresponds to a commitment $C_x$ to $x$. The auditor will then be able to derive $f(x,y)$ from an escrow $Z$ computed by a user on input the user's private data $y$ corresponding to a commitment $C_y$. $Z$ verifiably corresponds to the commitment $C_y$ and reveals no other information about $y$.
PPBs provide an abuse-resistant escrow mechanism: for example, if $f$ is the watchlist function where $f(x,y)$ outputs $y$ only in the event that $y$ is on the list $x$, then an $f$-PPB allows the auditor to trace watchlisted users in an otherwise anonymous system. Yet, the auditor's $x$ must correspond to a publicly available (and potentially authorized by a transparent, lawful process) $C_x$, and the auditor will learn nothing except $f(x,y)$.
In this paper, we build on the original PPB results in three ways: (1) We define and satisfy a stronger notion of security where a malicious auditor cannot frame a user in a transaction to which this user was not a party. (2) We provide efficient schemes for a bigger class of functions $f$; for example, for the first time, we show how to realize $f$ that would allow the auditor to trace e-cash transactions of a criminal suspect. (3) For the watchlist and related functions, we reduce the size of the escrow $Z$ from linear in the size of the auditor's input $x$, to logarithmic.
Wyatt Benno
Foreign field arithmetic often creates significant additional overheads in zero-knowledge proof circuits. Previous work has offloaded foreign arithmetic from proof circuits by using effective and often simple primitives such as Sigma protocols. While these successfully move the foreign field work outside of the circuit, the costs for the Sigma protocol’s verifier still remains high. In use cases where the verifier is constrained computationally this poses a major challenge. One such use case would be in proof composition where foreign arithmetic causes a blowup in the costs for the verifier circuit. In this work we show that by using folding scheme with Sigmabus and other such uniform verifier offloading techniques, we can remove foreign field arithmetic from zero-knowledge proof circuits while achieving succinct final verification. We do this by applying prior techniques iteratively and accumulate the resulting verifier work into one folding proof of size O(|F|) group elements, where F is the size of a single Sigma verifier’s computation. Then by using an existing zkSNARK we can further compress to a proof size of O(log |F|) which can be checked succinctly by a computationally constrained verifier.
Pierre-Emmanuel Clet, Aymen Boudguiga, Renaud Sirdey
The TFHE cryptosystem only supports small plaintext space, up to 5 bits with usual parameters. However, one solution to circumvent this limitation is to decompose input messages into a basis B over multiple ciphertexts. In this work, we introduce B-gates, an extension of logic gates to non binary bases, to compute base B logic circuit. The flexibility introduced by our approach improves the speed performance over previous approaches such as the so called tree-based method which requires an exponential amount of operations in the number of inputs. We provide experimental results using sorting as a benchmark application and, additionally, we obtain a speed-up of ×3 in latency compared to state of the art BGV techniques for this application. As an additional result, we introduce a keyswitching key specific to packing TLWE ciphertexts into TRLWE ciphertexts with redundancy, which is of interest in many functional bootstrapping scenarios.
Shanuja Sasi, Onur Gunlu
In this paper, we consider two critical aspects of security in the distributed computing (DC) model: secure data shuffling and secure coded computing. It is imperative that any external entity overhearing the transmissions does not gain any information about the intermediate values (IVs) exchanged during the shuffling phase of the DC model. Our approach ensures IV confidentiality during data shuffling. Moreover, each node in the system must be able to recover the IVs necessary for computing its output functions but must also remain oblivious to the IVs associated with output functions not assigned to it. We design secure DC methods and establish achievable limits on the tradeoffs between the communication and computation loads to contribute to the advancement of secure data processing in distributed systems.
Yulian Sun, Li Duan, Ricardo Mendes, Derui Zhu, Yue Xia, Yong Li, Asja Fischer
Vertical Federated Learning (VFL) is becoming a standard collaborative learning paradigm with various practical applications. Randomness is essential to enhancing privacy in VFL, but introducing too much external randomness often leads to an intolerable performance loss. Instead, as it was demonstrated for other federated learning settings, leveraging internal randomness —as provided by variational autoencoders (VAEs) —can be beneficial. However, the resulting privacy has never been quantified so far nor has the approach been investigated for VFL.
We therefore propose a novel differential privacy estimate, denoted as distance-based empirical local differential privacy (dELDP). It allows to empirically bound DP parameters of concrete components, quantifying the internal randomness with appropriate distance and sensitivity metrics. We apply dELDP to investigate the DP of VAEs and observe values up to ε ≈ 6.4 and δ = 2−32. Moreover, to link the dELDP parameters to the privacy of full VAE-including VFL systems in practice, we conduct comprehensive experiments on the robustness against state-of-the-art privacy attacks. The results illustrate that the VAE system is effective against feature reconstruction attacks and outperforms other privacy-enhancing methods for VFL, especially when the adversary holds 75% of features in label inference attack.