متابعة
Stjepan Picek
Stjepan Picek
Associate professor, Radboud University, The Netherlands
بريد إلكتروني تم التحقق منه على computer.org
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
{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
375*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
3142019
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
1592018
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
1562021
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
1382023
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
1222022
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
992020
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
96*2024
Cellular automata based S-boxes‏
L Mariot, S Picek, A Leporati, D Jakobovic‏
Cryptography and Communications 11 (1), 41-62, 2019‏
862019
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
842020
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
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
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
782019
A new cost function for evolution of s-boxes‏
S Picek, M Cupic, L Rotim‏
Evolutionary computation 24 (4), 695-718, 2016‏
782016
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
772022
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مقالات 1–20