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Explore advanced machine learning applications in side-channel analysis through this conference session from CHES 2025, chaired by Romain Poussier. Delve into cutting-edge research presentations that examine the intersection of artificial intelligence and cryptographic security vulnerabilities. Learn about the latest methodologies, attack techniques, and defense mechanisms where machine learning algorithms are applied to exploit or protect against side-channel information leakage in cryptographic implementations. Gain insights from leading researchers in the field as they present their findings on topics such as deep learning-based side-channel attacks, neural network architectures for cryptanalysis, and machine learning countermeasures for securing cryptographic devices against power analysis, electromagnetic emanations, and timing attacks.
