AI RESEARCH
Learning to Localize Leakage of Cryptographic Sensitive Variables
arXiv CS.LG
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ArXi:2503.07464v2 Announce Type: replace While cryptographic algorithms such as the ubiquitous Advanced Encryption Standard (AES) are secure, *physical implementations* of these algorithms in hardware inevitably 'leak' sensitive data such as cryptographic keys. A particularly insidious form of leakage arises from the fact that hardware consumes power and emits radiation in a manner that is statistically associated with the data it processes and the instructions it executes.