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Explore cutting-edge research in machine learning applications for cryptographic hardware and embedded systems security through this conference session from CHES 2025. Delve into the latest developments presented by leading researchers in the field, with presentations chaired by Fatemeh Ganji covering innovative approaches to applying machine learning techniques in hardware security contexts. Gain insights into current trends, methodologies, and breakthrough findings that demonstrate how artificial intelligence and machine learning are transforming the landscape of cryptographic hardware evaluation and embedded systems security. Access comprehensive materials including research papers and presentation slides to deepen your understanding of the intersection between machine learning and hardware security research.
