17 citations · 23 across the 6 of their papers we have counts for
11 papers
Detection and Defense of Unlearnable Examples
Yifan Zhu, Lijia Yu, Xiao-Shan Gao
Privacy preserving has become increasingly critical with the emergence of social media. Unlearnable examples have been proposed to avoid leaking personal information on the Interne…
Restore Translation Using Equivariant Neural Networks
Yihan Wang, Lijia Yu, Xiao-Shan Gao
Invariance to spatial transformations such as translations and rotations is a desirable property and a basic design principle for classification neural networks. However, the commo…
Isometric 3D Adversarial Examples in the Physical World
Yibo Miao, Yinpeng Dong, Jun Zhu +1
3D deep learning models are shown to be as vulnerable to adversarial examples as 2D models. However, existing attack methods are still far from stealthy and suffer from severe perf…
Skew-sparse matrix multiplication
Qiao-Long Huang, Ke Ye, Xiao-Shan Gao
Based on the observation that is isomorphic to a quotient skew polynomial ring, we propose a new method for matrix multiplicat…
Adversarial Parameter Attack on Deep Neural Networks
Lijia Yu, Yihan Wang, Xiao-Shan Gao
In this paper, a new parameter perturbation attack on DNNs, called adversarial parameter attack, is proposed, in which small perturbations to the parameters of the DNN are made suc…
Proving Information Inequalities and Identities with Symbolic Computation
Laigang Guo, Raymond W. Yeung, Xiao-Shan Gao
Proving linear inequalities and identities of Shannon's information measures, possibly with linear constraints on the information measures, is an important problem in information t…