Shuffling for Semantic Secrecy

Deep learning draws heavily on the latest progress in semantic communications. The present paper aims to examine the security aspect of this cutting-edge technique from a novel shuffling perspective. Our goal is to improve upon the conventional secure coding scheme to strike a desirable tradeoff...

Leakage-Resilient Algebraic Manipulation Detection Codes with Optimal Parameters

Algebraic Manipulation Detection AMD codes is a cryptographic primitive that was introduced by Cramer, Dodis, Fehr, Padro and Wichs. They are keyless message authentication codes that protect messages against additive tampering by the adversary assuming that the adversary cannot "see" the codewor...