2025
Exact Solutions of the Inner Optimization Problem of Adversarial Robustness
ICASSP 2025accepted
We propose a robust framework that uses adversarially robust training to safeguard the ML models against perturbed testing data. Our contributions can be seen from both computational and statistical perspectives. Firstly, from a computational/optimization point of view, we derive the ready-to-use ex…