Jun-Cheng Chen

Class-Aware Robust Adversarial Training for Object Detection

2021 · arXiv (Cornell University)

Object detection is an important computer vision task with plenty of real-world applications; therefore, how to enhance its robustness against adversarial attacks has emerged as a crucial issue. However, most of the previous defense methods …

A Comparative Study of Cross-Model Universal Adversarial Perturbation for Face Forgery

2022 · 2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)

Although the rapid development of deep generative models (DGM) enables diverse applications of content creation, increasing illegal uses of the technologies also severely threaten the privacy and security of personal information, especially for faces. Several …