| A Comparison of Weight Initializers in Deep Learning-based Side-channel Analysis H Li, M Krcek, G Perin | 55 | 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, 2023 | 27* | 2023 |
| Learning From A Big Brother-Mimicking Neural Networks in Profiled Side-channel Analysis D van der Valk, M Krcek, S Picek, S Bhasin 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 9 | 2020 |
| On the Importance of Initial Solutions Selection in Fault Injection M Krček, D Fronte, S Picek 2021 Workshop on Fault Detection and Tolerance in Cryptography (FDTC), 1-12, 2021 | 8 | 2021 |
| The more you know: Improving laser fault injection with prior knowledge M Krček, T Ordas, D Fronte, S Picek 2022 Workshop on Fault Detection and Tolerance in Cryptography (FDTC), 18-29, 2022 | 6 | 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 |
| It's a Kind of Magic: A Novel Conditional GAN Framework for Efficient Profiling Side-channel Analysis S Karayalcin, M Krcek, L Wu, S Picek, G Perin Cryptology ePrint Archive, 2023 | 3 | 2023 |
| The need for more: unsupervised side-channel analysis with single network training and multi-output regression I Savu, M Krček, G Perin, L Wu, S Picek International Workshop on Constructive Side-Channel Analysis and Secure …, 2024 | 2 | 2024 |
| BlindSage: Label Inference Attacks against Node-level Vertical Federated Graph Neural Networks M Arazzi, M Conti, S Koffas, M Krcek, A Nocera, S Picek, J Xu arXiv preprint arXiv:2308.02465, 2023 | 2 | 2023 |
| Autoencoder-enabled model portability for reducing hyperparameter tuning efforts in side-channel analysis M Krček, G Perin Journal of Cryptographic Engineering, 1-23, 2023 | 1 | 2023 |
| Shift-invariance Robustness of Convolutional Neural Networks in Side-channel Analysis M Krček, L Wu, G Perin, S Picek Cryptology ePrint Archive, 2023 | 1 | 2023 |
| Diversity Methods for Laser Fault Injection M Krček, T Ordas Cryptology ePrint Archive, 2023 | 1* | 2023 |
| Modeling Strong Physically Unclonable Functions with Metaheuristics C Coello Coello, M Durasevic, D Jakobovic, M Krcek, L Mariot, S Picek Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | | 2023 |
| What Do You See? Transforming Fault Injection Target Characterizations M Krček Security, Privacy, and Applied Cryptography Engineering: 12th International …, 2022 | | 2022 |
| Problemi i algoritmi kombinatoričke optimizacije M Krček University of Zagreb. Faculty of Electrical Engineering and Computing., 2017 | | 2017 |
| Optimizacija Booleovih funkcija za kriptografske postupke M Krček University of Zagreb. Faculty of Electrical Engineering and Computing, 2015 | | 2015 |
| 3.10 AI for fault injection M Krcek Intelligent Security: Is “AI for Cybersecurity” a Blessing or a Curse, 117, 0 | | |
Guilherme PerinLeiden University在 tudelft.nl 的电子邮件经过验证
