| 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 | 125 | 2021 |
| 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 | 99 | 2022 |
| 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 | 97 | 2023 |
| 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 | 87 | 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 | 54 | 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 2022 (3 …, 2022 | 43 | 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 | 28* | 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 | 24 | 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 | 17* | 2023 |
| 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 |
| 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 | 17 | 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 | 16 | 2022 |
| Hiding in Plain Sight: Non-profiling Deep Learning-based Side-channel Analysis with Plaintext/Ciphertext L Wu, G Perin, S Picek Cryptology ePrint Archive, 2023 | 13* | 2023 |
| 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 | 13 | 2021 |
| 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 | 13 | 2018 |
| Aisy-deep learning-based framework for side-channel analysis G Perin, L Wu, S Picek Cryptology ePrint Archive, 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 | 8* | 2022 |
| Deep learning on side-channel analysis M Krček, H Li, S Paguada, U Rioja, L Wu, G Perin, Ł Chmielewski Security and Artificial Intelligence: A Crossdisciplinary Approach, 48-71, 2022 | 5 | 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 | 5 | 2022 |
| AutoPOI: automated points of interest selection for side-channel analysis MGD Remmerswaal, L Wu, S Tiran, N Mentens Journal of Cryptographic Engineering, 2023 | 4 | 2023 |
Stjepan PicekAssociate professor, Radboud University, The NetherlandsVerified email at computer.org