7 citations · 7 across the 1 of their papers we have counts for
4 papers
Fisher-Bures Adversary Graph Convolutional Networks
Ke Sun, Piotr Koniusz, Zhen Wang
In a graph convolutional network, we assume that the graph is generated wrt some observation noise. During learning, we make small random perturbations of the graph and tr…
Enhancing the Robustness of Deep Neural Networks by Boundary Conditional GAN
Ke Sun, Zhanxing Zhu, Zhouchen Lin
Deep neural networks have been widely deployed in various machine learning tasks. However, recent works have demonstrated that they are vulnerable to adversarial examples: carefull…
Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors
Ke Sun, Zhanxing Zhu, Zhouchen Lin
Most previous works usually explained adversarial examples from several specific perspectives, lacking relatively integral comprehension about this problem. In this paper, we prese…
Two-Stage Metric Learning
Jun Wang, Ke Sun, Fei Sha +2
In this paper, we present a novel two-stage metric learning algorithm. We first map each learning instance to a probability distribution by computing its similarities to a set of f…