3 papers
quant-ph2026
Efficient Quantum Algorithm for Robust Training
Yue Wang, Guangyi He, Liepeng Zhang +2
Adversarial training is a standard defense against malicious input perturbations in security-critical machine-learning systems. Its main burden is structural: before every paramete…
math.OC2025
Distributional Adversarial Attacks and Training in Deep Hedging
Guangyi He, Tobias Sutter, Lukas Gonon
In this paper, we study the robustness of classical deep hedging strategies under distributional shifts by leveraging the concept of adversarial attacks. We first demonstrate that…
cs.LG2025
Wasserstein distributional adversarial training for deep neural networks
Xingjian Bai, Guangyi He, Yifan Jiang +1
Design of adversarial attacks for deep neural networks, as well as methods of adversarial training against them, are subject of intense research. In this paper, we propose methods…