| Methodology for efficient CNN architectures in profiling attacks G Zaid, L Bossuet, A Habrard, A Venelli IACR Transactions on Cryptographic Hardware and Embedded Systems, 1-36, 2020 | 247 | 2020 |
| Ranking Loss: Maximizing the Success Rate in Deep Learning Side-Channel Analysis G Zaid, L Bossuet, F Dassance, A Habrard, A Venelli IACR Transactions on Cryptographic Hardware and Embedded Systems, 25-55, 2021 | 61 | 2021 |
| Online Performance Evaluation of Deep Learning Networks for Profiled Side-Channel Analysis D Robissout, G Zaid, B Colombier, L Bossuet, A Habrard International Workshop on Constructive Side-Channel Analysis and Secure …, 2020 | 25* | 2020 |
| Efficiency through Diversity in Ensemble Models applied to Side-Channel Attacks:–A Case Study on Public-Key Algorithms– G Zaid, L Bossuet, A Habrard, A Venelli IACR Transactions on Cryptographic Hardware and Embedded Systems, 60-96, 2021 | 19 | 2021 |
| Conditional Variational AutoEncoder based on Stochastic Attacks G Zaid, L Bossuet, M Carbone, A Habrard, A Venelli IACR Transactions on Cryptographic Hardware and Embedded Systems, 310-357, 2023 | 12 | 2023 |
| Understanding methodology for efficient CNN architectures in profiling attacks G Zaid, L Bossuet, A Habrard, A Venelli Cryptology ePrint Archive, 2020 | 7 | 2020 |
| When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence B Coqueret, M Carbone, O Sentieys, G Zaid Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security …, 2023 | 2 | 2023 |
| Bridging Deep Learning and Classical Profiled Side-Channel Attacks G Zaid Université de Lyon, 2021 | | 2021 |
Lilian BossuetProfessor, University of Lyon, Saint-Etienne - Laboratoire Hubert Curien - CNRSAdresse e-mail validée de univ-st-etienne.fr
