3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Practical Deep Dispersed Watermarking with Synchronization and Fusion
Hengchang Guo, Qilong Zhang, Junwei Luo +4
Deep learning based blind watermarking works have gradually emerged and achieved impressive performance. However, previous deep watermarking studies mainly focus on fixed low-resol…
cs.CV2022★ 2 cited
Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training
Guodong Cao, Zhibo Wang, Xiaowei Dong +4
Adversarial training has been widely explored for mitigating attacks against deep models. However, most existing works are still trapped in the dilemma between higher accuracy and…
cs.CV2021★ 3 cited
Feature Importance-aware Transferable Adversarial Attacks
Zhibo Wang, Hengchang Guo, Zhifei Zhang +3
Transferability of adversarial examples is of central importance for attacking an unknown model, which facilitates adversarial attacks in more practical scenarios, e.g., black-box…