| One trace is all it takes: Machine learning-based side-channel attack on eddsa L Weissbart, S Picek, L Batina Security, Privacy, and Applied Cryptography Engineering: 9th International …, 2019 | 67 | 2019 |
| On reverse engineering neural network implementation on gpu Ł Chmielewski, L Weissbart Applied Cryptography and Network Security Workshops: ACNS 2021 Satellite …, 2021 | 36 | 2021 |
| Screen gleaning: A screen reading TEMPEST attack on mobile devices exploiting an electromagnetic side channel Z Liu, N Samwel, L Weissbart, Z Zhao, D Lauret, L Batina, M Larson arXiv preprint arXiv:2011.09877, 2020 | 32 | 2020 |
| Performance analysis of multilayer perceptron in profiling side-channel analysis L Weissbart Applied Cryptography and Network Security Workshops: ACNS 2020 Satellite …, 2020 | 26 | 2020 |
| On the attack evaluation and the generalization ability in profiling side-channel analysis L Wu, L Weissbart, M Krček, H Li, G Perin, L Batina, S Picek Cryptology ePrint Archive, 2020 | 22 | 2020 |
| Systematic side-channel analysis of curve25519 with machine learning L Weissbart, Ł Chmielewski, S Picek, L Batina Journal of Hardware and Systems Security 4 (4), 314-328, 2020 | 19 | 2020 |
| Label correlation in deep learning-based side-channel analysis L Wu, L Weissbart, M Krček, H Li, G Perin, L Batina, S Picek Ieee transactions on information forensics and security 18, 3849-3861, 2023 | 8 | 2023 |
| Lightweight but Not Easy: Side-channel Analysis of the Ascon Authenticated Cipher on a 32-bit Microcontroller L Weissbart, S Picek Cryptology ePrint Archive, 2023 | 7 | 2023 |
| On the performance of multilayer perceptron in profiling side-channel analysis L Weissbart Cryptology ePrint Archive, 2019 | 7 | 2019 |
| Side-channel attack using order 4 element against curve25519 on atmega328p Y Uetake, A Sanada, T Kusaka, Y Nogami, L Weissbart, S Duquesne 2018 International Symposium on Information Theory and Its Applications …, 2018 | 6 | 2018 |
| BarraCUDA: Bringing Electromagnetic Side Channel Into Play to Steal the Weights of Neural Networks from NVIDIA GPUs P Horvath, L Chmielewski, L Weissbart, L Batina, Y Yarom arXiv preprint arXiv:2312.07783, 2023 | 5 | 2023 |
| CNN architecture extraction on edge GPU P Horváth, L Chmielewski, L Weissbart, L Batina, Y Yarom International Conference on Applied Cryptography and Network Security, 158-175, 2024 | 4 | 2024 |
| One for All, All for Ascon: Ensemble-Based Deep Learning Side-Channel Analysis A Rezaeezade, A Basurto-Becerra, L Weissbart, G Perin International Conference on Applied Cryptography and Network Security, 139-157, 2024 | 2 | 2024 |
| Xoodyak Under SCA Siege PA Eliasi, S Mella, L Weissbart, L Batina, S Picek 2024 27th International Symposium on Design & Diagnostics of Electronic …, 2024 | 1 | 2024 |
| Everything All at Once: Deep Learning Side-Channel Analysis Optimization Framework G Serafini, L Weissbart, L Batina International Conference on Applied Cryptography and Network Security, 195-212, 2024 | 1 | 2024 |
| A Side-Channel Attack Using Order 8 Rational Points against Curve25519 on an 8-Bit Microcontroller Y Uetake, K Yoshimoto, Y Kodera, L Weissbart, T Kusaka, Y Nogami 2019 Seventh International Symposium on Computing and Networking (CANDAR …, 2019 | 1 | 2019 |
| A New Leakage Exploitation Framework and Its Application to Authenticated Encryption V Jahandideh, L Weissbart, B Mennink, L Batina | | 2023 |
| Label Correlation in Deep Learning-based Side-channel Analysis L Wu, L Weissbart, M Krček, H Li, G Perin, L Batina, S Picek Cryptology ePrint Archive, 2022 | | 2022 |
| BarraCUDA: Edge GPUs do Leak DNN Weights P Horvath, L Chmielewski, L Weissbart, L Batina, Y Yarom | | |
| Train Wisely: Multifidelity Bayesian Optimization Hyperparameter Tuning in Deep Learning-based Side-Channel Analysis T Yap, S Bhasin, L Weissbart | | |
Lejla Batina,Professor, applied cryptography and embedded systems security, Radboud University, The NetherlandsVerified email at cs.ru.nl
