Marina Krcek

CoRR, February, 2025

SoK: Deep Learning-based Side-channel Analysis Trends and Challenges.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2025

A Practical Tutorial on Deep Learning-based Side-channel Analysis.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2025

Practical Electromagnetic Fault Injection on Intel Neural Compute Stick 2.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2025

Investigation on the Impact of Practical Fault Model for Commercial Edge Machine Learning Devices.

[BibT_eX]

[DOI]

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2025

Interpreting Emergent Features in Deep Learning-based Side-channel Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Late Breaking Results: Practical Electromagnetic Fault Injection on Intel Neural Compute Stick 2.

[BibT_eX]

[DOI]

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

2024

Autoencoder-enabled model portability for reducing hyperparameter tuning efforts in side-channel analysis.

[BibT_eX]

[DOI]

Guilherme Perin

J. Cryptogr. Eng., September, 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

Diversity Algorithms for Laser Fault Injection.

[BibT_eX]

[DOI]

Thomas Ordas

Proceedings of the Applied Cryptography and Network Security Workshops, 2024

2023

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

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

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

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

Short paper: Diversity Methods for Laser Fault Injection to Improve Location Coverage.

[BibT_eX]

[DOI]

Thomas Ordas

IACR Cryptol. ePrint Arch., 2023

BlindSage: Label Inference Attacks against Node-level Vertical Federated Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Modeling Strong Physically Unclonable Functions with Metaheuristics.

[BibT_eX]

[DOI]

Carlos A. Coello Coello

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 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

What Do You See? Transforming Fault Injection Target Characterizations.

[BibT_eX]

[DOI]

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2022

The More You Know: Improving Laser Fault Injection with Prior Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Fault Detection and Tolerance in Cryptography, 2022

2021

On the Importance of Initial Solutions Selection in Fault Injection.

[BibT_eX]

[DOI]

Daniele Fronte

Proceedings of the 18th Workshop on Fault Detection and Tolerance in Cryptography, 2021

2020

Everything is Connected: From Model Learnability to Guessing Entropy.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2020

Learning From A Big Brother - Mimicking Neural Networks in Profiled Side-channel Analysis.

[BibT_eX]

[DOI]

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

A Comparison of Weight Initializers in Deep Learning-Based Side-Channel Analysis.

[BibT_eX]

[DOI]

Huimin Li