13 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 2 cited
Provably Robust Metric Learning
Lu Wang, Xuanqing Liu, Jinfeng Yi +2
Metric learning is an important family of algorithms for classification and similarity search, but the robustness of learned metrics against small adversarial perturbations is less…
cs.LG2020★ 4 cited
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data
Lu Wang, Huan Zhang, Jinfeng Yi +2
Adversarial black-box attacks aim to craft adversarial perturbations by querying input-output pairs of machine learning models. They are widely used to evaluate the robustness of p…
cs.LG2019★ 13 cited
Evaluating the Robustness of Nearest Neighbor Classifiers: A Primal-Dual Perspective
Lu Wang, Xuanqing Liu, Jinfeng Yi +2
We study the problem of computing the minimum adversarial perturbation of the Nearest Neighbor (NN) classifiers. Previous attempts either conduct attacks on continuous approximatio…