Kilroy was here: the first step towards explainability of neural networks in profiled side-channel analysis

DOI10.1007/978-3-030-68773-1_9OpenAlexW3003398938MaRDI QIDQ2106693

Stjepan Picek, Shivam Bhasin, Daan van der Valk

Publication date: 16 December 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-68773-1_9

zbMATH Keywords

neural networksside-channel analysisdeep learningrepresentation learning

Mathematics Subject Classification ID

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

Cites Work

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• Deep neural network attribution methods for leakage analysis and symmetric key recovery
• Breaking cryptographic implementations using deep learning techniques
• A Unified Framework for the Analysis of Side-Channel Key Recovery Attacks
• Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures
• Detecting Hidden Leakages
• Gradient visualization for general characterization in profiling attacks

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