| 2026 | AAAI | QRShield: Exploiting Vulnerabilities of Latent Diffusion Models for Preventing AI Art Plagiarism. | Xunyue Mo, Weibin Wu, Qingrui Tu, Hang Wang, Junxi He, Zibin Zheng |
| 2024 | AAAI | Curvature-Invariant Adversarial Attacks for 3D Point Clouds. | Jianping Zhang, Wenwei Gu, Yizhan Huang, Zhihan Jiang, Weibin Wu, Michael R. Lyu |
| 2024 | AAAI | Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection. | Jianping Zhang, Yizhan Huang, Zhuoer Xu, Weibin Wu, Michael R. Lyu |
| 2024 | APWEB | Parallel Secure Inference for Multiple Models Based on CKKS. | Weibin Wu, Ying Wang, Yangpan Zhang, Luyao Wang, Lu Zhou |
| 2024 | CVPR | Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement. | Han Wu, Guanyan Ou, Weibin Wu, Zibin Zheng |
| 2023 | AAAI | CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning. | Zihan Li, Weibin Wu, Yuxin Su, Zibin Zheng, Michael R. Lyu |
| 2023 | CVPR | Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization. | Jianping Zhang, Yizhan Huang, Weibin Wu, Michael R. Lyu |
| 2023 | CVPR | Improving the Transferability of Adversarial Samples by Path-Augmented Method. | Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu |
| 2023 | IJCAI | Towards Semantics- and Domain-Aware Adversarial Attacks. | Jianping Zhang, Yung-Chieh Huang, Weibin Wu, Michael R. Lyu |
| 2023 | ICSE | MTTM: Metamorphic Testing for Textual Content Moderation Software. | Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, Michael R. Lyu |
| 2023 | ICSE | Practical and Efficient Model Extraction of Sentiment Analysis APIs. | Weibin Wu, Jianping Zhang, Victor Junqiu Wei, Xixian Chen, Zibin Zheng, Irwin King, Michael R. Lyu |
| 2023 | ISSTA | Validating Multimedia Content Moderation Software via Semantic Fusion. | Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu |
| 2022 | CVPR | Improving Adversarial Transferability via Neuron Attribution-based Attacks. | Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang, Yuxin Su, Michael R. Lyu |
| 2021 | CVPR | Improving the Transferability of Adversarial Samples With Adversarial Transformations. | Weibin Wu, Yuxin Su, Michael R. Lyu, Irwin King |
| 2020 | CVPR | Boosting the Transferability of Adversarial Samples via Attention. | Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai |
| 2020 | CVPR | Towards Global Explanations of Convolutional Neural Networks With Concept Attribution. | Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai |
| 2020 | ICPADS | An Efficient and Scalable Sparse Polynomial Multiplication Accelerator for LAC on FPGA. | Jipeng Zhang, Zhe Liu, Hao Yang, Junhao Huang, Weibin Wu |
| 2019 | DSN | Deep Validation: Toward Detecting Real-World Corner Cases for Deep Neural Networks. | Weibin Wu, Hui Xu, Sanqiang Zhong, Michael R. Lyu, Irwin King |
| 2019 | DSN | NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming. | Hui Xu, Zhuangbin Chen, Weibin Wu, Zhi Jin, Sy-Yen Kuo, Michael R. Lyu |