It's Not Just a Phase: On Investigating Phase Transitions in Deep Learning-based Side-channel Analysis.
CoRR, February, 2025
Practical Electromagnetic Fault Injection on Intel Neural Compute Stick 2.
IACR Cryptol. ePrint Arch., 2025
Autoencoder-enabled model portability for reducing hyperparameter tuning efforts in side-channel analysis.
J. Cryptogr. Eng., September, 2024
Diversity Algorithms for Laser Fault Injection.
Proceedings of the Applied Cryptography and Network Security Workshops, 2024
Label Correlation in Deep Learning-Based Side-Channel Analysis.
IEEE Trans. Inf. Forensics Secur., 2023
The Need for MORE: Unsupervised Side-channel Analysis with Single Network Training and Multi-output Regression.
IACR Cryptol. ePrint Arch., 2023
Shift-invariance Robustness of Convolutional Neural Networks in Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2023
Short paper: Diversity Methods for Laser Fault Injection to Improve Location Coverage.
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
BlindSage: Label Inference Attacks against Node-level Vertical Federated Graph Neural Networks.
CoRR, 2023
Modeling Strong Physically Unclonable Functions with Metaheuristics.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Deep Learning on Side-Channel Analysis.
Security and Artificial Intelligence, 2022
AGE Is Not Just a Number: Label Distribution in Deep Learning-based Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2022
The More You Know: Improving Laser Fault Injection with Prior Knowledge.
IACR Cryptol. ePrint Arch., 2022
What Do You See? Transforming Fault Injection Target Characterizations.
Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2022
On the Importance of Initial Solutions Selection in Fault Injection.
Proceedings of the 18th Workshop on Fault Detection and Tolerance in Cryptography, 2021
Everything is Connected: From Model Learnability to Guessing Entropy.
IACR Cryptol. ePrint Arch., 2020
A Comparison of Weight Initializers in Deep Learning-based Side-channel Analysis.
IACR Cryptol. ePrint Arch., 2020
Learning From A Big Brother - Mimicking Neural Networks in Profiled Side-channel Analysis.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020