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2020 – today
- 2024
[j13]Lichao Wu
, Sébastien Tiran, Guilherme Perin, Stjepan Picek:
Plaintext-based Side-channel Collision Attack. IACR Commun. Cryptol. 1(3): 20 (2024)- [j12]Lichao Wu, Azade Rezaeezade, Amir Alipour, Guilherme Perin, Stjepan Picek:
Leakage Model-flexible Deep Learning-based Side-channel Analysis. IACR Commun. Cryptol. 1(3): 41 (2024) - [j11]Mick G. D. Remmerswaal, Lichao Wu, Sébastien Tiran, Nele Mentens:
AutoPOI: automated points of interest selection for side-channel analysis. J. Cryptogr. Eng. 14(3): 463-474 (2024) - [j10]Lichao Wu, Yoo-Seung Won, Dirmanto Jap, Guilherme Perin, Shivam Bhasin, Stjepan Picek:
Ablation Analysis for Multi-Device Deep Learning-Based Physical Side-Channel Analysis. IEEE Trans. Dependable Secur. Comput. 21(3): 1331-1341 (2024) - [j9]Lichao Wu, Guilherme Perin, Stjepan Picek:
I Choose You: Automated Hyperparameter Tuning for Deep Learning-Based Side-Channel Analysis. IEEE Trans. Emerg. Top. Comput. 12(2): 546-557 (2024) - [c8]Sengim Karayalcin, Marina Krcek, Lichao Wu, Stjepan Picek, Guilherme Perin:
It's a Kind of Magic: A Novel Conditional GAN Framework for Efficient Profiling Side-Channel Analysis. ASIACRYPT (8) 2024: 99-131 - [c7]Ioana Savu, Marina Krcek, Guilherme Perin, Lichao Wu, Stjepan Picek:
The Need for MORE: Unsupervised Side-Channel Analysis with Single Network Training and Multi-output Regression. COSADE 2024: 113-132 - 2023
- [b1]Lichao Wu:
The Circle of DL-SCA: Improving Deep Learning-based Side-channel Analysis. Delft University of Technology, Netherlands, 2023 - [j8]Guilherme Perin, Lichao Wu, Stjepan Picek:
The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-Based SCA. Algorithms 16(3): 127 (2023) - [j7]Stjepan Picek, Guilherme Perin, Luca Mariot, Lichao Wu, Lejla Batina:
SoK: Deep Learning-based Physical Side-channel Analysis. ACM Comput. Surv. 55(11): 227:1-227:35 (2023) - [j6]Maikel Kerkhof, Lichao Wu, Guilherme Perin, Stjepan Picek:
No (good) loss no gain: systematic evaluation of loss functions in deep learning-based side-channel analysis. J. Cryptogr. Eng. 13(3): 311-324 (2023) - [j5]Lichao Wu, Léo Weissbart, Marina Krcek, Huimin Li, Guilherme Perin, Lejla Batina, Stjepan Picek:
Label Correlation in Deep Learning-Based Side-Channel Analysis. IEEE Trans. Inf. Forensics Secur. 18: 3849-3861 (2023) - [c6]Lichao Wu, Guilherme Perin, Stjepan Picek:
Not so Difficult in the End: Breaking the Lookup Table-Based Affine Masking Scheme. SAC 2023: 82-96 - [i28]Fiske Schijlen, Lichao Wu, Luca Mariot:
NASCTY: Neuroevolution to Attack Side-channel Leakages Yielding Convolutional Neural Networks. CoRR abs/2301.10802 (2023) - [i27]Mick G. D. Remmerswaal, Lichao Wu, Sébastien Tiran, Nele Mentens:
AutoPOI: Automated Points Of Interest Selection for Side-channel Analysis. IACR Cryptol. ePrint Arch. 2023: 8 (2023) - [i26]Lichao Wu, Guilherme Perin, Stjepan Picek:
Hiding in Plain Sight: Non-profiling Deep Learning-based Side-channel Analysis with Plaintext/Ciphertext. IACR Cryptol. ePrint Arch. 2023: 209 (2023) - [i25]Lichao Wu, Guilherme Perin, Stjepan Picek:
Not so Difficult in the End: Breaking the ASCADv2 Dataset. IACR Cryptol. ePrint Arch. 2023: 724 (2023) - [i24]Marina Krcek, Lichao Wu, Guilherme Perin, Stjepan Picek:
Shift-invariance Robustness of Convolutional Neural Networks in Side-channel Analysis. IACR Cryptol. ePrint Arch. 2023: 1100 (2023) - [i23]Sengim Karayalcin, Marina Krcek, Lichao Wu, Stjepan Picek, Guilherme Perin:
It's a Kind of Magic: A Novel Conditional GAN Framework for Efficient Profiling Side-channel Analysis. IACR Cryptol. ePrint Arch. 2023: 1108 (2023) - [i22]Lichao Wu, Sébastien Tiran, Guilherme Perin, Stjepan Picek:
An End-to-end Plaintext-based Side-channel Collision Attack without Trace Segmentation. IACR Cryptol. ePrint Arch. 2023: 1109 (2023) - [i21]Lichao Wu, Amir Ali-pour, Azade Rezaeezade, Guilherme Perin, Stjepan Picek:
Breaking Free: Leakage Model-free Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2023: 1110 (2023) - [i20]Ioana Savu, Marina Krcek, Guilherme Perin, Lichao Wu, Stjepan Picek:
The Need for MORE: Unsupervised Side-channel Analysis with Single Network Training and Multi-output Regression. IACR Cryptol. ePrint Arch. 2023: 1681 (2023) - 2022
- [j4]Lichao Wu, Guilherme Perin, Stjepan Picek:
The Best of Two Worlds: Deep Learning-assisted Template Attack. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2022(3): 413-437 (2022) - [j3]Guilherme Perin, Lichao Wu, Stjepan Picek:
Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2022(4): 828-861 (2022) - [c5]Maikel Kerkhof, Lichao Wu, Guilherme Perin, Stjepan Picek:
Focus is Key to Success: A Focal Loss Function for Deep Learning-Based Side-Channel Analysis. COSADE 2022: 29-48 - [c4]Lichao Wu, Guilherme Perin, Stjepan Picek:
On the Evaluation of Deep Learning-Based Side-Channel Analysis. COSADE 2022: 49-71 - [p1]Marina Krcek, Huimin Li, Servio Paguada, Unai Rioja, Lichao Wu, Guilherme Perin, Lukasz Chmielewski:
Deep Learning on Side-Channel Analysis. Security and Artificial Intelligence 2022: 48-71 - [i19]Guilherme Perin, Lichao Wu, Stjepan Picek:
I Know What Your Layers Did: Layer-wise Explainability of Deep Learning Side-channel Analysis. IACR Cryptol. ePrint Arch. 2022: 1087 (2022) - [i18]Lichao Wu, Leo Weissbart, Marina Krcek, Huimin Li, Guilherme Perin, Lejla Batina, Stjepan Picek:
AGE Is Not Just a Number: Label Distribution in Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2022: 1507 (2022) - 2021
- [j2]Jorai Rijsdijk, Lichao Wu, Guilherme Perin, Stjepan Picek:
Reinforcement Learning for Hyperparameter Tuning in Deep Learning-based Side-channel Analysis. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2021(3): 677-707 (2021) - [c3]Lichao Wu, Guilherme Perin:
On the Importance of Pooling Layer Tuning for Profiling Side-Channel Analysis. ACNS Workshops 2021: 114-132 - [c2]Jorai Rijsdijk, Lichao Wu, Guilherme Perin:
Reinforcement Learning-Based Design of Side-Channel Countermeasures. SPACE 2021: 168-187 - [i17]Jorai Rijsdijk, Lichao Wu, Guilherme Perin, Stjepan Picek:
Reinforcement Learning for Hyperparameter Tuning in Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 71 (2021) - [i16]Guilherme Perin, Lichao Wu, Stjepan Picek:
Gambling for Success: The Lottery Ticket Hypothesis in Deep Learning-based SCA. IACR Cryptol. ePrint Arch. 2021: 197 (2021) - [i15]Guilherme Perin, Lichao Wu, Stjepan Picek:
AISY - Deep Learning-based Framework for Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 357 (2021) - [i14]Lichao Wu, Guilherme Perin:
On the Importance of Pooling Layer Tuning for Profiling Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 525 (2021) - [i13]Jorai Rijsdijk, Lichao Wu, Guilherme Perin, Stjepan Picek:
Reinforcement Learning-based Design of Side-channel Countermeasures. IACR Cryptol. ePrint Arch. 2021: 526 (2021) - [i12]Lichao Wu, Yoo-Seung Won, Dirmanto Jap, Guilherme Perin, Shivam Bhasin, Stjepan Picek:
Explain Some Noise: Ablation Analysis for Deep Learning-based Physical Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 717 (2021) - [i11]Lichao Wu, Guilherme Perin, Stjepan Picek:
On the Evaluation of Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 952 (2021) - [i10]Lichao Wu, Guilherme Perin, Stjepan Picek:
The Best of Two Worlds: Deep Learning-assisted Template Attack. IACR Cryptol. ePrint Arch. 2021: 959 (2021) - [i9]Maikel Kerkhof, Lichao Wu, Guilherme Perin, Stjepan Picek:
No (Good) Loss no Gain: Systematic Evaluation of Loss functions in Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 1091 (2021) - [i8]Stjepan Picek, Guilherme Perin, Luca Mariot, Lichao Wu, Lejla Batina:
SoK: Deep Learning-based Physical Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 1092 (2021) - [i7]Maikel Kerkhof, Lichao Wu, Guilherme Perin, Stjepan Picek:
Focus is Key to Success: A Focal Loss Function for Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 1408 (2021) - [i6]Guilherme Perin, Lichao Wu, Stjepan Picek:
Exploring Feature Selection Scenarios for Deep Learning-based Side-Channel Analysis. IACR Cryptol. ePrint Arch. 2021: 1414 (2021) - [i5]Guilherme Perin, Lichao Wu, Stjepan Picek:
The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-based SCA. IACR Cryptol. ePrint Arch. 2021: 1592 (2021) - 2020
- [j1]Lichao Wu, Stjepan Picek:
Remove Some Noise: On Pre-processing of Side-channel Measurements with Autoencoders. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2020(4): 389-415 (2020) - [c1]Lichao Wu, Gerard Ribera, Noemie Beringuier-Boher, Stjepan Picek:
A Fast Characterization Method for Semi-invasive Fault Injection Attacks. CT-RSA 2020: 146-170 - [i4]Lichao Wu, Leo Weissbart, Marina Krcek, Huimin Li, Guilherme Perin, Lejla Batina, Stjepan Picek:
Everything is Connected: From Model Learnability to Guessing Entropy. IACR Cryptol. ePrint Arch. 2020: 899 (2020) - [i3]Lichao Wu, Guilherme Perin, Stjepan Picek:
I Choose You: Automated Hyperparameter Tuning for Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2020: 1293 (2020)
2010 – 2019
- 2019
- [i2]Lichao Wu, Gerard Ribera, Stjepan Picek:
A Fast Characterization Method for Optical Fault Injection. IACR Cryptol. ePrint Arch. 2019: 866 (2019) - [i1]Lichao Wu, Stjepan Picek:
Remove Some Noise: On Pre-processing of Side-channel Measurements with Autoencoders. IACR Cryptol. ePrint Arch. 2019: 1474 (2019)
Coauthor Index
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