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InfoResearchPeer-reviewed
HypSCA: A Hyperbolic Embedding Method for Enhanced Side-Channel Attack
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Summary
HypSCA is a dual-space representation learning method for deep learning-based side-channel attacks. It embeds power or electromagnetic traces in hyperbolic space to model their hierarchical structure, while using Euclidean space for local discriminative learning. The authors report attack performance up to 30.8% better than state-of-the-art methods.