Lichao Wu

Orcid: 0000-0002-7139-732X

According to our database1, Lichao Wu authored at least 34 papers between 2019 and 2023.

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Bibliography

2023
SoK: Deep Learning-based Physical Side-channel Analysis.
ACM Comput. Surv., November, 2023

No (good) loss no gain: systematic evaluation of loss functions in deep learning-based side-channel analysis.
J. Cryptogr. Eng., September, 2023

The Circle of DL-SCA: Improving Deep Learning-based Side-channel Analysis.
PhD thesis, 2023

Label Correlation in Deep Learning-Based Side-Channel Analysis.
IEEE Trans. Inf. Forensics Secur., 2023

An End-to-end Plaintext-based Side-channel Collision Attack without Trace Segmentation.
IACR Cryptol. ePrint Arch., 2023

Not so Difficult in the End: Breaking the ASCADv2 Dataset.
IACR Cryptol. ePrint Arch., 2023

Hiding in Plain Sight: Non-profiling Deep Learning-based Side-channel Analysis with Plaintext/Ciphertext.
IACR Cryptol. ePrint Arch., 2023

Breaking Free: Leakage Model-free Deep Learning-based Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2023

The Need for MORE: Unsupervised Side-channel Analysis with Single Network Training and Multi-output Regression.
IACR Cryptol. ePrint Arch., 2023

AutoPOI: Automated Points Of Interest Selection for Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2023

Shift-invariance Robustness of Convolutional Neural Networks in Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2023

It's a Kind of Magic: A Novel Conditional GAN Framework for Efficient Profiling Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2023

NASCTY: Neuroevolution to Attack Side-channel Leakages Yielding Convolutional Neural Networks.
CoRR, 2023

Not so Difficult in the End: Breaking the Lookup Table-Based Affine Masking Scheme.
Proceedings of the Selected Areas in Cryptography - SAC 2023, 2023

2022
Deep Learning on Side-Channel Analysis.
Security and Artificial Intelligence, 2022

The Best of Two Worlds: Deep Learning-assisted Template Attack.
IACR Trans. Cryptogr. Hardw. Embed. Syst., 2022

Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis.
IACR Trans. Cryptogr. Hardw. Embed. Syst., 2022

AGE Is Not Just a Number: Label Distribution in Deep Learning-based Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2022

I Know What Your Layers Did: Layer-wise Explainability of Deep Learning Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2022

2021
Reinforcement Learning for Hyperparameter Tuning in Deep Learning-based Side-channel Analysis.
IACR Trans. Cryptogr. Hardw. Embed. Syst., 2021

Explain Some Noise: Ablation Analysis for Deep Learning-based Physical Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2021

On the Evaluation of Deep Learning-based Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2021

On the Importance of Pooling Layer Tuning for Profiling Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2021

Reinforcement Learning-based Design of Side-channel Countermeasures.
IACR Cryptol. ePrint Arch., 2021

The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-based SCA.
IACR Cryptol. ePrint Arch., 2021

AISY - Deep Learning-based Framework for Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2021

Gambling for Success: The Lottery Ticket Hypothesis in Deep Learning-based SCA.
IACR Cryptol. ePrint Arch., 2021

Focus is Key to Success: A Focal Loss Function for Deep Learning-based Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2021

Reinforcement Learning-Based Design of Side-Channel Countermeasures.
Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2021

2020
Remove Some Noise: On Pre-processing of Side-channel Measurements with Autoencoders.
IACR Trans. Cryptogr. Hardw. Embed. Syst., 2020

Everything is Connected: From Model Learnability to Guessing Entropy.
IACR Cryptol. ePrint Arch., 2020

I Choose You: Automated Hyperparameter Tuning for Deep Learning-based Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2020

A Fast Characterization Method for Semi-invasive Fault Injection Attacks.
Proceedings of the Topics in Cryptology - CT-RSA 2020, 2020

2019
A Fast Characterization Method for Optical Fault Injection.
IACR Cryptol. ePrint Arch., 2019


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