Automated Side-Channel Attacks using Black-Box Neural Architecture Search

ePrint Report: Automated Side-Channel Attacks using Black-Box Neural Architecture Search

Pritha Gupta, Jan Peter Drees, Eyke Hüllermeier

The usage of convolutional neural networks (CNNs) to break cryptographic systems through hardware side-channels has enabled fast and adaptable attacks on devices like smart cards and TPMs. Current literature proposes fixed CNN architectures designed by domain experts to break such systems, which is time-consuming and unsuitable for attacking a new system. Recently, an approach using neural architecture search (NAS), which is able to …

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