Weizmann Logo
ECCC
Electronic Colloquium on Computational Complexity

Under the auspices of the Computational Complexity Foundation (CCF)

Login | Register | Classic Style



REPORTS > KEYWORD > SZK:
Reports tagged with szk:
TR14-181 | 19th December 2014
Scott Aaronson, Adam Bouland, Joseph Fitzsimons, Mitchell Lee

The space "just above" BQP

We explore the space "just above" BQP by defining a complexity class PDQP (Product Dynamical Quantum Polynomial time) which is larger than BQP but does not contain NP relative to an oracle. The class is defined by imagining that quantum computers can perform measurements that do not collapse the ... more >>>


TR16-091 | 3rd June 2016
Nir Bitansky, Akshay Degwekar, Vinod Vaikuntanathan

Structure vs Hardness through the Obfuscation Lens

Revisions: 3

Cryptography relies on the computational hardness of structured problems. While one-way functions, the most basic cryptographic object, do not seem to require much structure, as we advance up the ranks into public-key cryptography and beyond, we seem to require that certain structured problems are hard. For example, factoring, quadratic residuosity, ... more >>>


TR19-038 | 7th March 2019
Itay Berman, Akshay Degwekar, Ron D. Rothblum, Prashant Vasudevan

Statistical Difference Beyond the Polarizing Regime

Revisions: 1

The polarization lemma for statistical distance ($\mathrm{SD}$), due to Sahai and Vadhan (JACM, 2003), is an efficient transformation taking as input a pair of circuits $(C_0,C_1)$ and an integer $k$ and outputting a new pair of circuits $(D_0,D_1)$ such that if $\mathrm{SD}(C_0,C_1)\geq\alpha$ then $\mathrm{SD}(D_0,D_1) \geq 1-2^{-k}$ and if $\mathrm{SD}(C_0,C_1) \leq ... more >>>


TR20-147 | 24th September 2020
Inbar Kaslasi, Prashant Nalini Vasudevan, Guy Rothblum, Ron Rothblum, Adam Sealfon

Batch Verification for Statistical Zero Knowledge Proofs

Revisions: 1

A statistical zero-knowledge proof (SZK) for a problem $\Pi$ enables a computationally unbounded prover to convince a polynomial-time verifier that $x \in \Pi$ without revealing any additional information about $x$ to the verifier, in a strong information-theoretic sense.

Suppose, however, that the prover wishes to convince the verifier that $k$ ... more >>>


TR24-024 | 14th February 2024
Changrui Mu, Shafik Nassar, Ron Rothblum, Prashant Nalini Vasudevan

Strong Batching for Non-Interactive Statistical Zero-Knowledge

A zero-knowledge proof enables a prover to convince a verifier that $x \in S$, without revealing anything beyond this fact. By running a zero-knowledge proof $k$ times, it is possible to prove (still in zero-knowledge) that $k$ separate instances $x_1,\dots,x_k$ are all in $S$. However, this increases the communication by ... more >>>


TR24-100 | 21st May 2024
Changrui Mu, Prashant Nalini Vasudevan

Instance-Hiding Interactive Proofs

Revisions: 1

In an Instance-Hiding Interactive Proof (IHIP) [Beaver et al. CRYPTO 90], an efficient verifier with a _private_ input x interacts with an unbounded prover to determine whether x is contained in a language L. In addition to completeness and soundness, the instance-hiding property requires that the prover should not learn ... more >>>


TR24-101 | 21st May 2024
Or Keret, Ron Rothblum, Prashant Nalini Vasudevan

Doubly-Efficient Batch Verification in Statistical Zero-Knowledge

A sequence of recent works, concluding with Mu et al. (Eurocrypt, 2024) has shown that every problem $\Pi$ admitting a non-interactive statistical zero-knowledge proof (NISZK) has an efficient zero-knowledge batch verification protocol. Namely, an NISZK protocol for proving that $x_1,\dots,x_k \in \Pi$ with communication that only scales poly-logarithmically with $k$. ... more >>>




ISSN 1433-8092 | Imprint