עקוב אחר
Lichao Wu
Lichao Wu
כתובת אימייל מאומתת בדומיין tu-darmstadt.de - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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 3, 677–707, 2021
1542021
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
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
Exploring feature selection scenarios for deep learning-based side-channel analysis
G Perin, L Wu, S Picek
IACR Transactions on Cryptographic Hardware and Embedded Systems, 828–861, 2022
672022
The best of two worlds: Deep learning-assisted template attack
L Wu, G Perin, S Picek
IACR Transactions on Cryptographic Hardware and Embedded Systems, 413-437, 2022
542022
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 18, 3849-3861, 2023
36*2023
No (good) loss no gain: Systematic evaluation of loss functions in deep learning-based side-channel analysis
M Kerkhof, L Wu, G Perin, S Picek
Journal of Cryptographic Engineering 13 (3), 311-324, 2023
272023
Ablation analysis for multi-device deep learning-based physical side-channel analysis
L Wu, YS Won, D Jap, G Perin, S Bhasin, S Picek
IEEE Transactions on Dependable and Secure Computing 21 (3), 1331-1341, 2023
27*2023
A fast characterization method for semi-invasive fault injection attacks
L Wu, G Ribera, N Beringuier-Boher, S Picek
Cryptographers’ Track at the RSA Conference, 146-170, 2020
202020
On the evaluation of deep learning-based side-channel analysis
L Wu, G Perin, S Picek
International Workshop on Constructive Side-Channel Analysis and Secure …, 2022
192022
Focus is key to success: A focal loss function for deep learning-based side-channel analysis
M Kerkhof, L Wu, G Perin, S Picek
International Workshop on Constructive Side-Channel Analysis and Secure …, 2022
172022
Weakly Profiling Side-channel Analysis
L Wu, G Perin, S Picek
IACR Transactions on Cryptographic Hardware and Embedded Systems, 707-730, 2024
16*2024
When theory meets practice: A framework for robust profiled side-channel analysis
S Picek, A Heuser, L Wu, C Alippi, F Regazzoni
Cryptology ePrint Archive, 2018
142018
On the Importance of Pooling Layer Tuning for Profiling Side-channel Analysis.
L Wu, G Perin
International Conference on Applied Cryptography and Network Security 2021 …, 2021
112021
Gambling for Success: The Lottery Ticket Hypothesis in Deep Learning-Based Side-Channel Analysis
G Perin, L Wu, S Picek
Artificial Intelligence for Cybersecurity, 217-241, 2022
10*2022
I know what your layers did: Layer-wise explainability of deep learning side-channel analysis
G Perin, L Wu, S Picek
Cryptology ePrint Archive, 2022
102022
Aisy-deep learning-based framework for side-channel analysis
G Perin, L Wu, S Picek
Cryptology ePrint Archive, 2021
102021
Reinforcement Learning-based Design of Side-channel Countermeasures
J Rijsdijk, L Wu, G Perin
International Conference on Security, Privacy and Applied Cryptographic …, 2021
82021
It’s a kind of magic: a novel conditional GAN framework for efficient profiling side-channel analysis
S Karayalçın, M Krček, L Wu, S Picek, G Perin
Advances in Cryptology – ASIACRYPT 2024, 99-131, 2024
72024
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מאמרים 1–20