October 01, 2021 conference-paper Open access Towards Strengthening Deep Learning-based Side Channel Attacks with Mixup IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) DOI: 10.1109/trustcom53373.2021.00114 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 17 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 Enhancing Scale and Shift Invariance in Deep Learning-Based Side-Channel Attacks Through Equivariant Convolutional Neural Networks 2026 Lecture notes in computer science conference-paper Computer Science Cryptographic Implementations and Security 1 citations A systematic study of data augmentation for protected AES implementations 2024 Journal of Cryptographic Engineering article Computer Science Cryptographic Implementations and Security Open access 4 citations 2 results References 0