{CSI}{NN}: Reverse engineering of neural network architectures through electromagnetic side channel L Batina, S Bhasin, D Jap, S Picek 28th USENIX Security Symposium (USENIX Security 19), 515-532, 2019 | 308* | 2019 |
Make some noise. unleashing the power of convolutional neural networks for profiled side-channel analysis J Kim, S Picek, A Heuser, S Bhasin, A Hanjalic IACR Transactions on Cryptographic Hardware and Embedded Systems, 148-179, 2019 | 270 | 2019 |
The curse of class imbalance and conflicting metrics with machine learning for side-channel evaluations S Picek, A Heuser, A Jovic, S Bhasin, F Regazzoni IACR Transactions on Cryptographic Hardware and Embedded Systems, 209-237, 2019 | 252 | 2019 |
On the performance of convolutional neural networks for side-channel analysis S Picek, IP Samiotis, J Kim, A Heuser, S Bhasin, A Legay Security, Privacy, and Applied Cryptography Engineering: 8th International …, 2018 | 136 | 2018 |
Side-channel analysis and machine learning: A practical perspective S Picek, A Heuser, A Jovic, SA Ludwig, S Guilley, D Jakobovic, ... 2017 International Joint Conference on Neural Networks (IJCNN), 4095-4102, 2017 | 125 | 2017 |
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 2021 (3 …, 2021 | 114 | 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 | 91 | 2022 |
Predictive and generative machine learning models for photonic crystals T Christensen, C Loh, S Picek, D Jakobović, L Jing, S Fisher, V Ceperic, ... Nanophotonics 9 (13), 4183-4192, 2020 | 90 | 2020 |
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 | 90 | 2020 |
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 | 85 | 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 | 83 | 2020 |
Cryptographic Boolean functions: One output, many design criteria S Picek, D Jakobovic, JF Miller, L Batina, M Cupic Applied Soft Computing 40, 635-653, 2016 | 77 | 2016 |
Cellular automata based S-boxes L Mariot, S Picek, A Leporati, D Jakobovic Cryptography and Communications 11 (1), 41-62, 2019 | 75 | 2019 |
Template attack versus Bayes classifier S Picek, A Heuser, S Guilley Journal of Cryptographic Engineering 7 (4), 343-351, 2017 | 75 | 2017 |
Mind the portability: A warriors guide through realistic profiled side-channel analysis S Bhasin, A Chattopadhyay, A Heuser, D Jap, S Picek, R Ranjan NDSS 2020-Network and Distributed System Security Symposium, 1-14, 2020 | 73 | 2020 |
A new cost function for evolution of s-boxes S Picek, M Cupic, L Rotim Evolutionary computation 24 (4), 695-718, 2016 | 73 | 2016 |
Confused by confusion: Systematic evaluation of DPA resistance of various s-boxes S Picek, K Papagiannopoulos, B Ege, L Batina, D Jakobovic International Conference on Cryptology in India, 374-390, 2014 | 73 | 2014 |
S-box, SET, match: a toolbox for S-box analysis S Picek, L Batina, D Jakobović, B Ege, M Golub Information Security Theory and Practice. Securing the Internet of Things …, 2014 | 68 | 2014 |
Glitch it if you can: parameter search strategies for successful fault injection RB Carpi, S Picek, L Batina, F Menarini, D Jakobovic, M Golub Smart Card Research and Advanced Applications: 12th International Conference …, 2014 | 66 | 2014 |
Evaluation of crossover operator performance in genetic algorithms with binary representation S Picek, M Golub, D Jakobovic Bio-inspired computing and applications: 7th international conference on …, 2012 | 63 | 2012 |