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math.ST2025
Asymptotic Behavior of Adversarial Training Estimator under -Perturbation
Yiling Xie, Xiaoming Huo
Adversarial training has been proposed to protect machine learning models against adversarial attacks. This paper focuses on adversarial training under -perturbation,…
math.ST2024
High-dimensional (Group) Adversarial Training in Linear Regression
Yiling Xie, Xiaoming Huo
Adversarial training can achieve robustness against adversarial perturbations and has been widely used in machine learning models. This paper delivers a non-asymptotic consistency…