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cs.IT2026

Discrepancy for Random Linear Codes

Dean Doron, Tal Leonov, Jonathan Mosheiff +3

We prove that random linear codes have nearly optimal discrepancy properties in a broad range of regimes. Our main results are two general theorems: one controlling all translates…

cs.IT2026

Linear time encodable binary code achieving GV bound with linear time encodable dual achieving GV bound

Martijn Brehm, Nicolas Resch

We initiate the study of what we term ``fast good codes'' with ``fast good duals.'' Specifically, we consider the task of constructing a rate 1/2 binary linear code such that both…

cs.IT2025

List Recoverable Codes: The Good, the Bad, and the Unknown (hopefully not Ugly)

Nicolas Resch, S. Venkitesh

List recovery is a fundamental task for error-correcting codes, vastly generalizing unique decoding from worst-case errors and list decoding. Briefly, one is given ''soft informati…

cs.IT2025

List-Recovery of Random Linear Codes over Small Fields

Dean Doron, Jonathan Mosheiff, Nicolas Resch +1

We study list-recoverability of random linear codes over small fields, both from errors and from erasures. We consider codes of rate -close to capacity, and aim to bound the de…

cs.IT2025

On the Independence Assumption in Quasi-Cyclic Code-Based Cryptography

Maxime Bombar, Nicolas Resch, Emiel Wiedijk

Cryptography based on the presumed hardness of decoding codes -- i.e., code-based cryptography -- has recently seen increased interest due to its plausible security against quantum…

cs.IT2024

Interactive Coding with Small Memory and Improved Rate

Dorsa Fathollahi, Bernhard Haeupler, Nicolas Resch +1

In this work, we study two-party interactive coding for adversarial noise, when both parties have limited memory. We show how to convert any adaptive protocol into a protocol…