2 citations · 4 across the 3 of their papers we have counts for
4 papers
Understanding the Error in Evaluating Adversarial Robustness
Pengfei Xia, Ziqiang Li, Hongjing Niu +1
Deep neural networks are easily misled by adversarial examples. Although lots of defense methods are proposed, many of them are demonstrated to lose effectiveness when against prop…
Improving Resistance to Adversarial Deformations by Regularizing Gradients
Pengfei Xia, Bin Li
Improving the resistance of deep neural networks against adversarial attacks is important for deploying models to realistic applications. However, most defense methods are designed…
Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation
Ziqiang Li, Rentuo Tao, Hongjing Niu +1
Generative adversarial nets (GANs) have been successfully applied in many fields like image generation, inpainting, super-resolution and drug discovery, etc., by now, the inner pro…
DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention
Ziqiang Li, Rentuo Tao, Qianrun Wu +1
Automatic medical image segmentation has wide applications for disease diagnosing. However, it is much more challenging than natural optical image segmentation due to the high-reso…