Reverse-Engineering CNN Models Using Side-Channel Attacks

Weizhe Hua, Zhiru Zhang, G. Edward Suh · IEEE Design and Test · 2022

This article demonstrates that architectural side-channel attacks (i.e., memory access patterns) can help leak the parameters of a convolutional neural network. —Jeyavijayan “JV” Rajendran, Texas A&M University

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