Publication
- M. Khairallah and T. Yap, "Attacking Single-Cycle Ciphers on Modern FPGAs: Featuring Explainable Deep Learning." in International Conference on Applied Cryptography and Network Security - AIHWS 2025
- A. Rezaeezade, T. Yap, D. Jap, S. Bhasin, S. Picek, "Breaking the Blindfold: Deep Learning-based Blind Side-channel Analysis" in 34th USENIX Conference on Security Symposium- USENIX 2025
- M.H. Zhao and T. Yap, "Avenger Ensemble: Genetic Algorithm-Driven Ensemble Selection for Deep Learning-based Side-Channel Analysis" in CASCADE 2025- CASCADE 2025
- T. Yap, S. Bhasin, and S. Picek, "OccPoIs: Points of Interest based on Neural Network’s Key Recovery in Side-channel Analysis through Occlusion" in International Conference on Cryptology in India - Indocrypt 2024
- Hu, K., & T. Yap, "Perfect Monomial Prediction for Modular Addition" in IACR Transactions on Symmetric Cryptology - ToSC 2024
- A. Benamira, T. Peyrin, T. Yap, T. Guérand and B. Hooi “Truth Table Net: Scalable, Compact & Verifiable Neural Networks with a Dual Convolutional Small Boolean Circuit Networks Form” in International Joint Conference on Artificial Intelligence - IJCAI 2024
- T. Yap, S. Bhasin, and L. Weissbart, "Train Wisely: Multifidelity Bayesian Optimization Hyperparameter Tuning in Side-Channel Analysis." in Selected Areas of Crytography - SAC 2024
- T. Yap and D. Jap, “Creating from Noise: Trace Generations Using Diffusion Model for Side-Channel Attack” in Applied Cryptography and Network Security Workshops - ACNS 2024
- T. Yap, S. Picek and S. Bhasin, “Beyond the Last Layer: Deep Feature Loss Functions in Side-channel Analysis” in Workshop on Attacks and Solutions in Hardware Security - ASHES 2023
- K. Hu, T. Peyrin, Q.Q. Tan and T. Yap “Revisiting Higher-Order Differential-Linear Attacks from an Algebraic Perspective” in Advances in Cryptology - ASIACRYPT 2023
- T. Yap, A. Benamira, S. Bhasin and T. Peyrin, “Peek into the Black-Box: Interpretable Neural Network using SAT Equations in Side-Channel Analysis” in Transactions on Cryptographic Hardware and Embedded Systems - CHES 2023