## CryptoDB

### Ohad Klein

#### ORCID: 0000-0002-9485-890X

#### Publications

**Year**

**Venue**

**Title**

2023

CRYPTO

New Bounds on the Local Leakage Resilience of Shamir's Secret Sharing Scheme
Abstract

We study the local leakage resilience of Shamir's secret sharing scheme. In Shamir's scheme, a random polynomial $f$ of degree $t$ is sampled over a field of size $p>n$, conditioned on $f(0)=s$ for a secret $s$. Any $t$ points can be used to fully recover $f$ and thereby $f(0)$. But, any $t-1$ evaluations of $f$ at non-zero coordinates are completely independent of $f(0)$. Recent works ask whether the secret remains hidden even if say only 1 bit of information is leaked from \emph{each} share, independently. This question is well motivated due to the wide range of applications of Shamir's scheme. For instance, it is known that if Shamir's scheme is leakage resilient in some range of parameters, then known secure computation protocols are secure in a local leakage model.
Over characteristic-2 fields, the answer is known to be negative (e.g., Guruswami and Wootters, STOC~'16). Benhamouda, Degwekar, Ishai, and Rabin (CRYPTO~'18) were the first to give a positive answer assuming computation is done over prime-order fields. They showed that if $t \ge 0.907n$, then Shamir's scheme is leakage resilient. Since then, there has been extensive efforts to improve the above threshold and after a series of works, the current record shows leakage resilience for $t\ge 0.78n$ (Maji et al., ISIT~'22). All existing analyses of Shamir's leakage resilience for general leakage functions follow a single framework for which there is a known barrier for any $t \le 0.5 n$.
In this work, we a develop a new analytical framework that allows us to significantly improve upon the previous record and obtain additional new results. Specifically, we show:
\begin{enumerate}
\item Shamir's scheme is leakage resilient for any $t \ge 0.69n$.
\item If the leakage functions are guaranteed to be ``balanced'' (i.e., splitting the domain of
possible shares into 2 roughly equal-size parts), then Shamir's scheme is leakage resilient
for any $t \ge 0.58n$.
\item If the leakage functions are guaranteed to be ``unbalanced'' (i.e., splitting the domain of possible shares into 2 parts of very different sizes), then Shamir's scheme is leakage resilient as long as $t \ge 0.01 n$. Such a result is \emph{provably} impossible to obtain using the previously known technique.
\end{enumerate}
All of the above apply more generally to any MDS codes-based secret sharing scheme.
Confirming leakage resilience is most important in the range $t \leq n/2$, as in many applications, Shamir’s scheme is used with thresholds $t\leq n/2$. As opposed to the previous approach, ours does not seem to have a barrier at $t=n/2$, as demonstrated by our third contribution.

2019

JOFC

An Optimal Distributed Discrete Log Protocol with Applications to Homomorphic Secret Sharing
Abstract

The distributed discrete logarithm (DDL) problem was introduced by Boyle, Gilboa and Ishai at CRYPTO 2016. A protocol solving this problem was the main tool used in the share conversion procedure of their homomorphic secret sharing (HSS) scheme which allows non-interactive evaluation of branching programs among two parties over shares of secret inputs. Let g be a generator of a multiplicative group $${\mathbb {G}}$$ G . Given a random group element $$g^{x}$$ g x and an unknown integer $$b \in [-M,M]$$ b ∈ [ - M , M ] for a small M , two parties A and B (that cannot communicate) successfully solve DDL if $$A(g^{x}) - B(g^{x+b}) = b$$ A ( g x ) - B ( g x + b ) = b . Otherwise, the parties err. In the DDL protocol of Boyle et al., A and B run in time T and have error probability that is roughly linear in M / T . Since it has a significant impact on the HSS scheme’s performance, a major open problem raised by Boyle et al. was to reduce the error probability as a function of T . In this paper we devise a new DDL protocol that substantially reduces the error probability to $$O(M \cdot T^{-2})$$ O ( M · T - 2 ) . Our new protocol improves the asymptotic evaluation time complexity of the HSS scheme by Boyle et al. on branching programs of size S from $$O(S^2)$$ O ( S 2 ) to $$O(S^{3/2})$$ O ( S 3 / 2 ) . We further show that our protocol is optimal up to a constant factor for all relevant cryptographic group families, unless one can solve the discrete logarithm problem in a short interval of length R in time $$o(\sqrt{R})$$ o ( R ) . Our DDL protocol is based on a new type of random walk that is composed of several iterations in which the expected step length gradually increases. We believe that this random walk is of independent interest and will find additional applications.

2018

CRYPTO

An Optimal Distributed Discrete Log Protocol with Applications to Homomorphic Secret Sharing
📺
Abstract

The distributed discrete logarithm (DDL) problem was introduced by Boyle et al. at CRYPTO 2016. A protocol solving this problem was the main tool used in the share conversion procedure of their homomorphic secret sharing (HSS) scheme which allows non-interactive evaluation of branching programs among two parties over shares of secret inputs.Let g be a generator of a multiplicative group $$\mathbb {G}$$G. Given a random group element $$g^{x}$$gx and an unknown integer $$b \in [-M,M]$$b∈[-M,M] for a small M, two parties A and B (that cannot communicate) successfully solve DDL if $$A(g^{x}) - B(g^{x+b}) = b$$A(gx)-B(gx+b)=b. Otherwise, the parties err. In the DDL protocol of Boyle et al., A and B run in time T and have error probability that is roughly linear in M/T. Since it has a significant impact on the HSS scheme’s performance, a major open problem raised by Boyle et al. was to reduce the error probability as a function of T.In this paper we devise a new DDL protocol that substantially reduces the error probability to $$O(M \cdot T^{-2})$$O(M·T-2). Our new protocol improves the asymptotic evaluation time complexity of the HSS scheme by Boyle et al. on branching programs of size S from $$O(S^2)$$O(S2) to $$O(S^{3/2})$$O(S3/2). We further show that our protocol is optimal up to a constant factor for all relevant cryptographic group families, unless one can solve the discrete logarithm problem in a short interval of length R in time $$o(\sqrt{R})$$o(R).Our DDL protocol is based on a new type of random walk that is composed of several iterations in which the expected step length gradually increases. We believe that this random walk is of independent interest and will find additional applications.

#### Coauthors

- Itai Dinur (2)
- Nathan Keller (2)
- Ilan Komargodski (1)