Machine Learning and Side Channels I

Explore the intersection of machine learning and side-channel analysis in this conference session from CHES 2025, chaired by Stjepan Picek. Delve into cutting-edge research presentations that examine how machine learning techniques can be applied to side-channel attacks and defenses in cryptographic implementations. Learn about the latest methodologies, theoretical frameworks, and practical applications where artificial intelligence meets hardware security analysis. Discover how researchers are leveraging neural networks, deep learning, and other ML approaches to enhance the effectiveness of side-channel attacks or develop more robust countermeasures against them. Gain insights into the evolving landscape of cryptographic security where traditional side-channel analysis techniques are being augmented or replaced by sophisticated machine learning algorithms.