Lichao Wu - researchr alias

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Viewing Publication 1 - 42 from 42

2023

It's a Kind of Magic: A Novel Conditional GAN Framework for Efficient Profiling Side-channel AnalysisSengim Karayalcin, Marina Krcek, Lichao Wu, Stjepan Picek, Guilherme Perin. iacr, 2023:1108, 2023. [doi]

No (good) loss no gain: systematic evaluation of loss functions in deep learning-based side-channel analysisMaikel Kerkhof, Lichao Wu, Guilherme Perin, Stjepan Picek. jce, 13(3):311-324, September 2023. [doi]

Shift-invariance Robustness of Convolutional Neural Networks in Side-channel AnalysisMarina Krcek, Lichao Wu, Guilherme Perin, Stjepan Picek. iacr, 2023:1100, 2023. [doi]

The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-Based SCAGuilherme Perin, Lichao Wu, Stjepan Picek. algorithms, 16(3):127, March 2023. [doi]

SoK: Deep Learning-based Physical Side-channel AnalysisStjepan Picek, Guilherme Perin, Luca Mariot, Lichao Wu, Lejla Batina. ACM Comput. Surv., 55(11), November 2023. [doi]

AutoPOI: Automated Points Of Interest Selection for Side-channel AnalysisMick G. D. Remmerswaal, Lichao Wu, Sébastien Tiran, Nele Mentens. iacr, 2023:8, 2023. [doi]

The Need for MORE: Unsupervised Side-channel Analysis with Single Network Training and Multi-output RegressionIoana Savu, Marina Krcek, Guilherme Perin, Lichao Wu, Stjepan Picek. iacr, 2023:1681, 2023. [doi]

The Circle of DL-SCA: Improving Deep Learning-based Side-channel AnalysisLichao Wu. PhD thesis, Delft University of Technology, Netherlands, 2023. [doi]

Not so Difficult in the End: Breaking the Lookup Table-Based Affine Masking SchemeLichao Wu, Guilherme Perin, Stjepan Picek. sacrypt 2024: 82-96 [doi]

An End-to-end Plaintext-based Side-channel Collision Attack without Trace SegmentationLichao Wu, Sébastien Tiran, Guilherme Perin, Stjepan Picek. iacr, 2023:1109, 2023. [doi]

Label Correlation in Deep Learning-Based Side-Channel AnalysisLichao Wu, Léo Weissbart, Marina Krcek, Huimin Li 0004, Guilherme Perin, Lejla Batina, Stjepan Picek. tifs, 18:3849-3861, 2023. [doi]

Breaking Free: Leakage Model-free Deep Learning-based Side-channel AnalysisLichao Wu, Amir Ali Pour, Azade Rezaeezade, Guilherme Perin, Stjepan Picek. iacr, 2023:1110, 2023. [doi]

Hiding in Plain Sight: Non-profiling Deep Learning-based Side-channel Analysis with Plaintext/CiphertextLichao Wu, Guilherme Perin, Stjepan Picek. iacr, 2023:209, 2023. [doi]

2022

Focus is Key to Success: A Focal Loss Function for Deep Learning-Based Side-Channel AnalysisMaikel Kerkhof, Lichao Wu, Guilherme Perin, Stjepan Picek. cosade 2022: 29-48 [doi]

Deep Learning on Side-Channel AnalysisMarina Krcek, Huimin Li, Servio Paguada, Unai Rioja, Lichao Wu, Guilherme Perin, Lukasz Chmielewski. In Security and Artificial Intelligence. pages 48-71, 2022. [doi]

Exploring Feature Selection Scenarios for Deep Learning-based Side-channel AnalysisGuilherme Perin, Lichao Wu, Stjepan Picek. tches, 2022(4):828-861, 2022. [doi]

I Know What Your Layers Did: Layer-wise Explainability of Deep Learning Side-channel AnalysisGuilherme Perin, Lichao Wu, Stjepan Picek. iacr, 2022:1087, 2022. [doi]

On the Evaluation of Deep Learning-Based Side-Channel AnalysisLichao Wu, Guilherme Perin, Stjepan Picek. cosade 2022: 49-71 [doi]

AGE Is Not Just a Number: Label Distribution in Deep Learning-based Side-channel AnalysisLichao Wu, Leo Weissbart, Marina Krcek, Huimin Li 0004, Guilherme Perin, Lejla Batina, Stjepan Picek. iacr, 2022:1507, 2022. [doi]

The Best of Two Worlds: Deep Learning-assisted Template AttackLichao Wu, Guilherme Perin, Stjepan Picek. tches, 2022(3):413-437, 2022. [doi]

2021

Focus is Key to Success: A Focal Loss Function for Deep Learning-based Side-channel AnalysisMaikel Kerkhof, Lichao Wu, Guilherme Perin, Stjepan Picek. iacr, 2021:1408, 2021. [doi]

No (Good) Loss no Gain: Systematic Evaluation of Loss functions in Deep Learning-based Side-channel AnalysisMaikel Kerkhof, Lichao Wu, Guilherme Perin, Stjepan Picek. iacr, 2021:1091, 2021. [doi]

Gambling for Success: The Lottery Ticket Hypothesis in Deep Learning-based SCAGuilherme Perin, Lichao Wu, Stjepan Picek. iacr, 2021:197, 2021. [doi]

AISY - Deep Learning-based Framework for Side-channel AnalysisGuilherme Perin, Lichao Wu, Stjepan Picek. iacr, 2021:357, 2021. [doi]

The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-based SCAGuilherme Perin, Lichao Wu, Stjepan Picek. iacr, 2021:1592, 2021. [doi]

Exploring Feature Selection Scenarios for Deep Learning-based Side-Channel AnalysisGuilherme Perin, Lichao Wu, Stjepan Picek. iacr, 2021:1414, 2021. [doi]

SoK: Deep Learning-based Physical Side-channel AnalysisStjepan Picek, Guilherme Perin, Luca Mariot, Lichao Wu, Lejla Batina. iacr, 2021:1092, 2021. [doi]

Reinforcement Learning-Based Design of Side-Channel CountermeasuresJorai Rijsdijk, Lichao Wu, Guilherme Perin. space 2022: 168-187 [doi]

Reinforcement Learning-based Design of Side-channel CountermeasuresJorai Rijsdijk, Lichao Wu, Guilherme Perin, Stjepan Picek. iacr, 2021:526, 2021. [doi]

Reinforcement Learning for Hyperparameter Tuning in Deep Learning-based Side-channel AnalysisJorai Rijsdijk, Lichao Wu, Guilherme Perin, Stjepan Picek. iacr, 2021:71, 2021. [doi]

Reinforcement Learning for Hyperparameter Tuning in Deep Learning-based Side-channel AnalysisJorai Rijsdijk, Lichao Wu, Guilherme Perin, Stjepan Picek. tches, 2021(3):677-707, 2021. [doi]

On the Importance of Pooling Layer Tuning for Profiling Side-Channel AnalysisLichao Wu, Guilherme Perin. acns 2021: 114-132 [doi]

On the Importance of Pooling Layer Tuning for Profiling Side-channel AnalysisLichao Wu, Guilherme Perin. iacr, 2021:525, 2021. [doi]

On the Evaluation of Deep Learning-based Side-channel AnalysisLichao Wu, Guilherme Perin, Stjepan Picek. iacr, 2021:952, 2021. [doi]

The Best of Two Worlds: Deep Learning-assisted Template AttackLichao Wu, Guilherme Perin, Stjepan Picek. iacr, 2021:959, 2021. [doi]

Explain Some Noise: Ablation Analysis for Deep Learning-based Physical Side-channel AnalysisLichao Wu, Yoo-Seung Won, Dirmanto Jap, Guilherme Perin, Shivam Bhasin, Stjepan Picek. iacr, 2021:717, 2021. [doi]

2020

2019

Remove Some Noise: On Pre-processing of Side-channel Measurements with AutoencodersLichao Wu, Stjepan Picek. iacr, 2019:1474, 2019. [doi]

A Fast Characterization Method for Optical Fault InjectionLichao Wu, Gerard Ribera, Stjepan Picek. iacr, 2019:866, 2019. [doi]

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