Reinforcement learning for hyperparameter tuning in deep learning-based side-channel analysis J Rijsdijk, L Wu, G Perin, S Picek IACR Transactions on Cryptographic Hardware and Embedded Systems, 677-707, 2021 | 153 | 2021 |
Sok: Deep learning-based physical side-channel analysis S Picek, G Perin, L Mariot, L Wu, L Batina ACM Computing Surveys 55 (11), 1-35, 2023 | 136 | 2023 |
I choose you: Automated hyperparameter tuning for deep learning-based side-channel analysis L Wu, G Perin, S Picek IEEE Transactions on Emerging Topics in Computing, 2022 | 120 | 2022 |
Strength in numbers: Improving generalization with ensembles in machine learning-based profiled side-channel analysis G Perin, Ł Chmielewski, S Picek IACR Transactions on Cryptographic Hardware and Embedded Systems, 337-364, 2020 | 109 | 2020 |
Exploring feature selection scenarios for deep learning-based side-channel analysis G Perin, L Wu, S Picek IACR Transactions on Cryptographic Hardware and Embedded Systems, 828-861, 2022 | 66 | 2022 |
Attacking randomized exponentiations using unsupervised learning G Perin, L Imbert, L Torres, P Maurine Constructive Side-Channel Analysis and Secure Design: 5th International …, 2014 | 65 | 2014 |
A comparison of weight initializers in deep learning-based side-channel analysis H Li, M Krček, G Perin Applied Cryptography and Network Security Workshops: ACNS 2020 Satellite …, 2020 | 63 | 2020 |
Montgomery modular multiplication on reconfigurable hardware: Systolic versus multiplexed implementation G Perin, D Gomes Mesquita, JB Martins International Journal of Reconfigurable Computing 2011 (1), 127147, 2011 | 59 | 2011 |
Keep it unsupervised: Horizontal attacks meet deep learning G Perin, Ł Chmielewski, L Batina, S Picek IACR Transactions on Cryptographic Hardware and Embedded Systems, 343-372, 2021 | 53 | 2021 |
The best of two worlds: Deep learning-assisted template attack L Wu, G Perin, S Picek IACR Transactions on Cryptographic Hardware and Embedded Systems, 413-437, 2022 | 52 | 2022 |
On the influence of optimizers in deep learning-based side-channel analysis G Perin, S Picek Selected Areas in Cryptography: 27th International Conference, Halifax, NS …, 2021 | 43 | 2021 |
A semi-parametric approach for side-channel attacks on protected RSA implementations G Perin, Ł Chmielewski International Conference on Smart Card Research and Advanced Applications, 34-53, 2015 | 36 | 2015 |
Learning when to stop: a mutual information approach to fight overfitting in profiled side-channel analysis G Perin, I Buhan, S Picek Cryptology ePrint Archive, 2020 | 30 | 2020 |
Profiled side-channel analysis in the efficient attacker framework S Picek, A Heuser, G Perin, S Guilley International Conference on Smart Card Research and Advanced Applications, 44-63, 2021 | 28 | 2021 |
Lowering the bar: Deep learning for side channel analysis G Perin, B Ege, J van Woudenberg BlackHat USA, Las Vegas, NV, USA, Tech. Rep, 2018 | 28 | 2018 |
A gigabit udp/ip network stack in fpga FL Herrmann, G Perin, JPJ de Freitas, R Bertagnolli, ... 2009 16th IEEE International Conference on Electronics, Circuits and Systems …, 2009 | 28 | 2009 |
No (good) loss no gain: Systematic evaluation of loss functions in deep learning-based side-channel analysis M Kerkhof, L Wu, G Perin, S Picek Journal of Cryptographic Engineering 13 (3), 311-324, 2023 | 27 | 2023 |
Neural network model assessment for side-channel analysis G Perin, B Ege, L Chmielewski Cryptology ePrint Archive, 2019 | 25 | 2019 |
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 | 24 | 2020 |
On the evaluation of deep learning-based side-channel analysis L Wu, G Perin, S Picek International Workshop on Constructive Side-Channel Analysis and Secure …, 2022 | 19 | 2022 |