On the influence of optimizers in deep learning-based side-channel analysis

DOI10.1007/978-3-030-81652-0_24zbMath1493.94040OpenAlexW3185518807MaRDI QIDQ832396

Stjepan Picek, Guilherme Perin

Publication date: 25 March 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-81652-0_24

zbMATH Keywords

neural networksside-channel analysisprofiling attacksoptimizers

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Cryptography (94A60)

Related Items (2)

Reinforcement learning-based design of side-channel countermeasures ⋮ On the evaluation of deep learning-based side-channel analysis

Cites Work

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• Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures
• Power Analysis Attacks
• Cryptographic Hardware and Embedded Systems - CHES 2004
• On the performance of convolutional neural networks for side-channel analysis
• Gradient visualization for general characterization in profiling attacks

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