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math.OC2022
A Highly Efficient Adaptive-Sieving-Based Algorithm for the High-Dimensional Rank Lasso Problem
Xiaoning Bai, Qingna Li
The high-dimensional rank lasso (hdr lasso) model is an efficient approach to deal with high-dimensional data analysis. It was proposed as a tuning-free robust approach for the hig…
cs.LG2022
An Efficient Method for Sample Adversarial Perturbations against Nonlinear Support Vector Machines
Wen Su, Qingna Li
Adversarial perturbations have drawn great attentions in various machine learning models. In this paper, we investigate the sample adversarial perturbations for nonlinear support v…
cs.LG2022★ 1 cited
Optimization Models and Interpretations for Three Types of Adversarial Perturbations against Support Vector Machines
Wen Su, Qingna Li, Chunfeng Cui
Adversarial perturbations have drawn great attentions in various deep neural networks. Most of them are computed by iterations and cannot be interpreted very well. In contrast, lit…