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Stjepan Picek
Stjepan Picek
Associate professor, Radboud University, The Netherlands
Zweryfikowany adres z computer.org
Tytuł
Cytowane przez
Cytowane przez
Rok
{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
366*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
3122019
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
3072019
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
1562021
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
1552018
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
1472017
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
1372023
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
1242022
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
1012020
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
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
852020
Cellular automata based S-boxes
L Mariot, S Picek, A Leporati, D Jakobovic
Cryptography and Communications 11 (1), 41-62, 2019
842019
A comprehensive study of jailbreak attack versus defense for large language models
Z Xu, Y Liu, G Deng, Y Li, S Picek
Findings of the Association for Computational Linguistics ACL 2024, 7432-7449, 2024
83*2024
Template attack versus Bayes classifier
S Picek, A Heuser, S Guilley
Journal of Cryptographic Engineering 7 (4), 343-351, 2017
812017
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
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
782021
A new cost function for evolution of s-boxes
S Picek, M Cupic, L Rotim
Evolutionary computation 24 (4), 695-718, 2016
782016
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
762014
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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