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 3, 677–707, 2021 | 154 | 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 |
Remove some noise: On pre-processing of side-channel measurements with autoencoders L Wu, S Picek IACR Transactions on Cryptographic Hardware and Embedded Systems, 389-415, 2020 | 103 | 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 | 67 | 2022 |
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 | 54 | 2022 |
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 | 36* | 2023 |
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 |
Ablation analysis for multi-device deep learning-based physical side-channel analysis L Wu, YS Won, D Jap, G Perin, S Bhasin, S Picek IEEE Transactions on Dependable and Secure Computing 21 (3), 1331-1341, 2023 | 27* | 2023 |
A fast characterization method for semi-invasive fault injection attacks L Wu, G Ribera, N Beringuier-Boher, S Picek Cryptographers’ Track at the RSA Conference, 146-170, 2020 | 20 | 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 |
Focus is key to success: A focal loss function for deep learning-based side-channel analysis M Kerkhof, L Wu, G Perin, S Picek International Workshop on Constructive Side-Channel Analysis and Secure …, 2022 | 17 | 2022 |
Weakly Profiling Side-channel Analysis L Wu, G Perin, S Picek IACR Transactions on Cryptographic Hardware and Embedded Systems, 707-730, 2024 | 16* | 2024 |
When theory meets practice: A framework for robust profiled side-channel analysis S Picek, A Heuser, L Wu, C Alippi, F Regazzoni Cryptology ePrint Archive, 2018 | 14 | 2018 |
On the Importance of Pooling Layer Tuning for Profiling Side-channel Analysis. L Wu, G Perin International Conference on Applied Cryptography and Network Security 2021 …, 2021 | 11 | 2021 |
Gambling for Success: The Lottery Ticket Hypothesis in Deep Learning-Based Side-Channel Analysis G Perin, L Wu, S Picek Artificial Intelligence for Cybersecurity, 217-241, 2022 | 10* | 2022 |
I know what your layers did: Layer-wise explainability of deep learning side-channel analysis G Perin, L Wu, S Picek Cryptology ePrint Archive, 2022 | 10 | 2022 |
Aisy-deep learning-based framework for side-channel analysis G Perin, L Wu, S Picek Cryptology ePrint Archive, 2021 | 10 | 2021 |
Reinforcement Learning-based Design of Side-channel Countermeasures J Rijsdijk, L Wu, G Perin International Conference on Security, Privacy and Applied Cryptographic …, 2021 | 8 | 2021 |
It’s a kind of magic: a novel conditional GAN framework for efficient profiling side-channel analysis S Karayalçın, M Krček, L Wu, S Picek, G Perin Advances in Cryptology – ASIACRYPT 2024, 99-131, 2024 | 7 | 2024 |