Lichao Wu

Mohamadreza Rostami

Huimin Li

Jeyavijayan Rajendran

Ahmad-Reza Sadeghi

Proceedings of the 34th USENIX Security Symposium, 2025

HFL: Hardware Fuzzing Loop with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference, 2025

2024

AutoPOI: automated points of interest selection for side-channel analysis.

[BibT_eX]

[DOI]

Mick G. D. Remmerswaal

Sébastien Tiran

Nele Mentens

J. Cryptogr. Eng., September, 2024

I Choose You: Automated Hyperparameter Tuning for Deep Learning-Based Side-Channel Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput., 2024

Ablation Analysis for Multi-Device Deep Learning-Based Physical Side-Channel Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2024

Plaintext-based Side-channel Collision Attack.

[BibT_eX]

[DOI]

IACR Commun. Cryptol., 2024

Leakage Model-flexible Deep Learning-based Side-channel Analysis.

[BibT_eX]

[DOI]

IACR Commun. Cryptol., 2024

The Need for MORE: Unsupervised Side-Channel Analysis with Single Network Training and Multi-output Regression.

[BibT_eX]

[DOI]

Proceedings of the Constructive Side-Channel Analysis and Secure Design, 2024

It's a Kind of Magic: A Novel Conditional GAN Framework for Efficient Profiling Side-Channel Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Cryptology - ASIACRYPT 2024, 2024

2023

SoK: Deep Learning-based Physical Side-channel Analysis.

[BibT_eX]

[DOI]

ACM Comput. Surv., November, 2023

No (good) loss no gain: systematic evaluation of loss functions in deep learning-based side-channel analysis.

[BibT_eX]

[DOI]

J. Cryptogr. Eng., September, 2023

The Circle of DL-SCA: Improving Deep Learning-based Side-channel Analysis.

[BibT_eX]

[DOI]

PhD thesis, 2023

Label Correlation in Deep Learning-Based Side-Channel Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

An End-to-end Plaintext-based Side-channel Collision Attack without Trace Segmentation.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

Not so Difficult in the End: Breaking the ASCADv2 Dataset.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

Hiding in Plain Sight: Non-profiling Deep Learning-based Side-channel Analysis with Plaintext/Ciphertext.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

Breaking Free: Leakage Model-free Deep Learning-based Side-channel Analysis.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

Shift-invariance Robustness of Convolutional Neural Networks in Side-channel Analysis.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

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

[BibT_eX]

[DOI]

Fiske Schijlen

Luca Mariot

CoRR, 2023

Not so Difficult in the End: Breaking the Lookup Table-Based Affine Masking Scheme.

[BibT_eX]

[DOI]

Proceedings of the Selected Areas in Cryptography - SAC 2023, 2023

2022

Deep Learning on Side-Channel Analysis.

[BibT_eX]

[DOI]

Security and Artificial Intelligence, 2022

AGE Is Not Just a Number: Label Distribution in Deep Learning-based Side-channel Analysis.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2022

I Know What Your Layers Did: Layer-wise Explainability of Deep Learning Side-channel Analysis.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2022

On the Evaluation of Deep Learning-Based Side-Channel Analysis.

[BibT_eX]

[DOI]

Proceedings of the Constructive Side-Channel Analysis and Secure Design, 2022

Focus is Key to Success: A Focal Loss Function for Deep Learning-Based Side-Channel Analysis.

[BibT_eX]

[DOI]

Proceedings of the Constructive Side-Channel Analysis and Secure Design, 2022

2021

Explain Some Noise: Ablation Analysis for Deep Learning-based Physical Side-channel Analysis.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2021

The Best of Two Worlds: Deep Learning-assisted Template Attack.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2021

Reinforcement Learning-based Design of Side-channel Countermeasures.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2021

Reinforcement Learning for Hyperparameter Tuning in Deep Learning-based Side-channel Analysis.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2021

The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-based SCA.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2021

Exploring Feature Selection Scenarios for Deep Learning-based Side-Channel Analysis.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2021

AISY - Deep Learning-based Framework for Side-channel Analysis.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2021

Gambling for Success: The Lottery Ticket Hypothesis in Deep Learning-based SCA.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2021

Reinforcement Learning-Based Design of Side-Channel Countermeasures.

[BibT_eX]

[DOI]

Jorai Rijsdijk

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2021

On the Importance of Pooling Layer Tuning for Profiling Side-Channel Analysis.

[BibT_eX]

[DOI]

Proceedings of the Applied Cryptography and Network Security Workshops, 2021

2020

Everything is Connected: From Model Learnability to Guessing Entropy.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2020

A Fast Characterization Method for Semi-invasive Fault Injection Attacks.

[BibT_eX]

[DOI]

Gerard Ribera

Noemie Beringuier-Boher

Proceedings of the Topics in Cryptology - CT-RSA 2020, 2020

2019

A Fast Characterization Method for Optical Fault Injection.

[BibT_eX]

[DOI]

Gerard Ribera

IACR Cryptol. ePrint Arch., 2019

Remove Some Noise: On Pre-processing of Side-channel Measurements with Autoencoders.

[BibT_eX]

[DOI]