Optimization Models and Interpretations for Three Types of Adversarial Perturbations against Support Vector Machines

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).

Active Subspace of Neural Networks: Structural Analysis and Universal Attacks

1 code implementation • 29 Oct 2019 • Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan Oseledets, Zheng Zhang

Secondly, we propose analyzing the vulnerability of a neural network using active subspace and finding an additive universal adversarial attack vector that can misclassify a dataset with a high probability.

Adversarial Attack