Stebėti
Stjepan Picek
Stjepan Picek
Associate professor, Radboud University, The Netherlands
Patvirtintas el. paštas computer.org
Pavadinimas
Cituota
Cituota
Metai
{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
373*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
3172019
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
3122019
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
1572018
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
1542021
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
1492017
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
1362023
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
1202022
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
1102020
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
1032020
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
982020
A comprehensive study of jailbreak attack versus defense for large language models
Z Xu, Y Liu, G Deng, Y Li, S Picek
arXiv preprint arXiv:2402.13457, 2024
94*2024
Cellular automata based S-boxes
L Mariot, S Picek, A Leporati, D Jakobovic
Cryptography and Communications 11 (1), 41-62, 2019
852019
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
822020
Template attack versus Bayes classifier
S Picek, A Heuser, S Guilley
Journal of Cryptographic Engineering 7 (4), 343-351, 2017
822017
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
802016
A new cost function for evolution of s-boxes
S Picek, M Cupic, L Rotim
Evolutionary computation 24 (4), 695-718, 2016
782016
Explainability-based backdoor attacks against graph neural networks
J Xu, M Xue, S Picek
Proceedings of the 3rd ACM workshop on wireless security and machine …, 2021
772021
One trace is all it takes: Machine learning-based side-channel attack on eddsa
L Weissbart, S Picek, L Batina
Security, Privacy, and Applied Cryptography Engineering: 9th International …, 2019
752019
Can you hear it? backdoor attacks via ultrasonic triggers
S Koffas, J Xu, M Conti, S Picek
Proceedings of the 2022 ACM workshop on wireless security and machine …, 2022
742022
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Straipsniai 1–20