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Deep neural network attribution methods for leakage analysis and symmetric key recovery

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Publication:778967
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DOI10.1007/978-3-030-38471-5_26zbMath1457.94139OpenAlexW2953890756MaRDI QIDQ778967

Tim Güneysu, Benjamin Hettwer, Stefan Gehrer

Publication date: 21 July 2020

Full work available at URL: https://doi.org/10.1007/978-3-030-38471-5_26


zbMATH Keywords

machine learningdeep learningleakage analysisside-channel attacks


Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Cryptography (94A60) Channel models (including quantum) in information and communication theory (94A40)


Related Items (4)

Subsampling and knowledge distillation on adversarial examples: new techniques for deep learning based side channel evaluations ⋮ On the influence of optimizers in deep learning-based side-channel analysis ⋮ Reinforcement learning-based design of side-channel countermeasures ⋮ Kilroy was here: the first step towards explainability of neural networks in profiled side-channel analysis




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