activity
20162026
most citedNon-Malleable Codes for Small-Depth Circuits

1 citations · 1 across the 5 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Private Proofs of When and Where

Uma Girish, Greg Gluch, Shafi Goldwasser +3

Position verification schemes are interactive protocols where entities prove their physical location to others; this enables interactive proofs for statements of the form "I am at…

cs.LG2025

Is nasty noise actually harder than malicious noise?

Guy Blanc, Yizhi Huang, Tal Malkin +1

We consider the relative abilities and limitations of computationally efficient algorithms for learning in the presence of noise, under two well-studied and challenging adversarial…

cs.CR2024

Provably Robust Watermarks for Open-Source Language Models

Miranda Christ, Sam Gunn, Tal Malkin +1

The recent explosion of high-quality language models has necessitated new methods for identifying AI-generated text. Watermarking is a leading solution and could prove to be an ess…

cs.DS2019

Lower Bounds for Oblivious Near-Neighbor Search

Kasper Green Larsen, Tal Malkin, Omri Weinstein +1

We prove an lower bound on the dynamic cell-probe complexity of statistically approximate-near-neighbor search () over…

cs.DS2018

Two Party Distribution Testing: Communication and Security

Alexandr Andoni, Tal Malkin, Negev Shekel Nosatzki

We study the problem of discrete distribution testing in the two-party setting. For example, in the standard closeness testing problem, Alice and Bob each have samples from, re…

cs.CC2018★ 1 cited

Non-Malleable Codes for Small-Depth Circuits

Marshall Ball, Dana Dachman-Soled, Siyao Guo +2

We construct efficient, unconditional non-malleable codes that are secure against tampering functions computed by small-depth circuits. For constant-depth circuits of polynomial si…

cs.CR2016

Strong Hardness of Privacy from Weak Traitor Tracing

Lucas Kowalczyk, Tal Malkin, Jonathan Ullman +1

Despite much study, the computational complexity of differential privacy remains poorly understood. In this paper we consider the computational complexity of accurately answering a…