Leakage-Resilient Extractors against Number-on-Forehead Protocols
Eshan Chattopadhyay, Jesse Goodman

TL;DR
This paper introduces a leakage-resilient extractor for number-on-forehead protocols, achieving the remarkable result of requiring only three good sources to extract randomness, advancing the theoretical understanding of multi-source extractors.
Contribution
The paper presents a near-optimal explicit construction of a leakage-resilient extractor against NOF protocols, resolving longstanding open questions and significantly reducing the number of sources needed.
Findings
Constructed a leakage-resilient extractor with only three sources.
Established a new connection between multiparty communication complexity and non-malleable extractors.
Proved strong average-case lower bounds for non-malleable extractors against NOF protocols.
Abstract
Given a sequence of independent sources , how many of them must be good (i.e., contain some min-entropy) in order to extract a uniformly random string? This question was first raised by Chattopadhyay, Goodman, Goyal and Li (STOC '20), motivated by applications in cryptography, distributed computing, and the unreliable nature of real-world sources of randomness. In their paper, they showed how to construct explicit low-error extractors for just good sources of polylogarithmic min-entropy. In a follow-up, Chattopadhyay and Goodman improved the number of good sources required to just (FOCS '21). In this paper, we finally achieve . Our key ingredient is a near-optimal explicit construction of a new pseudorandom primitive, called a leakage-resilient extractor (LRE) against…
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Taxonomy
TopicsCryptography and Data Security · Advanced Malware Detection Techniques · Internet Traffic Analysis and Secure E-voting
