7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CR2023★ 1 cited
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency
Xiaogeng Liu, Minghui Li, Haoyu Wang +5
Deep neural networks are proven to be vulnerable to backdoor attacks. Detecting the trigger samples during the inference stage, i.e., the test-time trigger sample detection, can pr…
cs.CV2022
Completing point cloud from few points by Wasserstein GAN and Transformers
Xianfeng Wu, Jinhui Qian, Qing Wei +6
In many vision and robotics applications, it is common that the captured objects are represented by very few points. Most of the existing completion methods are designed for partia…
cs.CV2022★ 7 cited
Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer
Shengshan Hu, Xiaogeng Liu, Yechao Zhang +4
While deep face recognition (FR) systems have shown amazing performance in identification and verification, they also arouse privacy concerns for their excessive surveillance on us…