Trevor Yap
Orcid: 0000-0001-8651-574X
According to our database1,
Trevor Yap
authored at least 14 papers
between 2022 and 2025.
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Bibliography
2025
Neural Leakage Model: Correlation Power Analysis with Profiled Leakage Model using Deep Neural Networks.
IACR Cryptol. ePrint Arch., 2025
Side-Channel Power Trace Dataset for Kyber Pair-Pointwise Multiplication on Cortex-M4.
IACR Cryptol. ePrint Arch., 2025
Proceedings of the 34th USENIX Security Symposium, 2025
Avenger Ensemble: Genetic Algorithm-Driven Ensemble Selection for Deep Learning-Based Side-Channel Analysis.
Proceedings of the Constructive Approaches for Security Analysis and Design of Embedded Systems, 2025
Attacking Single-Cycle Ciphers on Modern FPGAs - Featuring Explainable Deep Learning.
Proceedings of the Applied Cryptography and Network Security Workshops, 2025
2024
Train Wisely: Multifidelity Bayesian Optimization Hyperparameter Tuning in Deep Learning-Based Side-Channel Analysis.
Proceedings of the Selected Areas in Cryptography - SAC 2024, 2024
OccPoIs: Points of Interest Based on Neural Network's Key Recovery in Side-Channel Analysis Through Occlusion.
Proceedings of the Progress in Cryptology - INDOCRYPT 2024, 2024
Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Creating from Noise: Trace Generations Using Diffusion Model for Side-Channel Attack.
Proceedings of the Applied Cryptography and Network Security Workshops, 2024
2023
Proceedings of the Advances in Cryptology - ASIACRYPT 2023, 2023
Proceedings of the 2023 Workshop on Attacks and Solutions in Hardware Security, 2023
2022
Peek into the Black-Box: Interpretable Neural Network using SAT Equations in Side-Channel Analysis.
IACR Cryptol. ePrint Arch., 2022