Focus is key to success: a focal loss function for deep learning-based side-channel analysis
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Publication:6064589
DOI10.1007/978-3-030-99766-3_2zbMath1528.94061MaRDI QIDQ6064589
Lichao Wu, Maikel Kerkhof, Guilherme Perin, Stjepan Picek
Publication date: 12 December 2023
Published in: Constructive Side-Channel Analysis and Secure Design (Search for Journal in Brave)
Full work available at URL: http://resolver.tudelft.nl/uuid:ae6acb31-652c-4ae4-b64a-124f22f6acdb
Artificial neural networks and deep learning (68T07) Cryptography (94A60) Data encryption (aspects in computer science) (68P25)
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- Breaking cryptographic implementations using deep learning techniques
- Online performance evaluation of deep learning networks for profiled side-channel analysis
- Learning when to stop: a mutual information approach to prevent overfitting in profiled side-channel analysis
- A Unified Framework for the Analysis of Side-Channel Key Recovery Attacks
- Convolutional Neural Networks with Data Augmentation Against Jitter-Based Countermeasures
- Power Analysis Attacks
- On the performance of convolutional neural networks for side-channel analysis
- Gradient visualization for general characterization in profiling attacks
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