Wen, Bihan

Recent Advances in Adversarial Training for Adversarial Robustness

Bai, T., Luo, J., Zhao, J., Wen, B., & Wang, Q. (2021) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 490

Recent Advances in Adversarial Training for Adversarial Robustness

Bai, T., Luo, J., Zhao, J., Wen, B., & Wang, Q. (2021) · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 490

COVERAGE — A novel database for copy-move forgery detection

Wen, B., Zhu, Y., Subramanian, R., Ng, T.-T., Shen, X., & Winkler, S. (2016) · 2016 IEEE International Conference on Image Processing (ICIP)

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 440

SinSR: Diffusion-Based Image Super-Resolution in a Single Step

Wang, Y., Yang, W., Chen, X., Wang, Y., Guo, L., Chau, L.-P., Liu, Z., Qiao, Y., Kot, A. C., & Wen, B. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image Processing TechniquesGenerative Adversarial Networks and Image Synthesis

Cited by 196

Removing Backdoor-Based Watermarks in Neural Networks with Limited Data

Liu, X., Li, F., Wen, B., & Li, Q. (2021) · 2020 25th International Conference on Pattern Recognition (ICPR)

Adversarial Robustness in Machine LearningAdvanced Steganography and Watermarking Techniques

Cited by 49