Publications

Full list in Google Scholar

Conference Publications (“*”: equal contribution)

[CVPR'25] Yuning Han*, Bingyin Zhao*, Rui Chu, Feng Luo, Biplab Sikdar, and Yingjie Lao, UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
[ICCV'23] Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, and Jose M. Alvarez, Fully Attentional Networks with Self-emerging Token Labeling. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 5585-5595, 2023.
[DAC'23] Antian Wang, Bingyin Zhao, Weihang Tan, and Yingjie Lao, NNTesting: Neural Network Fault Attacks Detection Using Gradient-Based Test Vector Generation. In 2023 60th ACM/IEEE Design Automation Conference (DAC), pp. 1-6, 2023.
[AAAI'22] Bingyin Zhao, Yingjie Lao, CLPA: Clean-Label Poisoning Availability Attacks Using Generative Adversarial Nets. In Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), pp. 9162-9170, 2022.
[WACV'22] Bingyin Zhao, Yingjie Lao, Towards Class-oriented Poisoning Attacks against Neural Networks. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 3741-3750, 2022.

Journal Publications

[TCAD'23] Bingyin Zhao, Ling Qiu, and Yingjie Lao, Data-Driven Feature Selection Framework for Approximate Circuit Design. In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023.