no code implementations • 12 Jun 2022 • Wen Su, Qingna Li
By exploring the special property of nonlinear SVMs, we transform the optimization problem of attacking nonlinear SVMs into a nonlinear KKT system.
no code implementations • 7 Apr 2022 • Wen Su, Qingna Li, Chunfeng Cui
In this paper, we investigate the optimization models and the interpretations for three types of adversarial perturbations against support vector machines, including sample-adversarial perturbations (sAP), class-universal adversarial perturbations (cuAP) as well as universal adversarial perturbations (uAP).
no code implementations • 21 Jul 2020 • Chen Jiang, Qingna Li
Motivated by this question and the idea in linearization framework, in this paper, we focus on the $L_2$-loss kernel SVM and propose a semismooth Newton's method based linearization and approximation approach for it.
no code implementations • 27 Feb 2019 • Panpan Yu, Qingna Li
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