January 01, 2021 conference-paper Learning When to Stop: A Mutual Information Approach to Prevent Overfitting in Profiled Side-Channel Analysis Lecture notes in computer science DOI: 10.1007/978-3-030-89915-8_3 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 20 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access I Know What Your Layers Did: Layer-wise Explainability of Deep Learning Side-channel Analysis 2026 IACR Communications in Cryptology article Computer Science Cryptographic Implementations and Security Open access 1 citations Can KANs Do It? Toward Interpretable Deep Learning-Based Side-Channel Analysis 2025 Lecture notes in computer science conference-paper Computer Science Cryptographic Implementations and Security 0 citations The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-Based SCA 2023 Algorithms article Computer Science Cryptographic Implementations and Security Open access 6 citations 3 results References 0