A personalized limb rehabilitation training system for stroke patients. - Weibin Wu 002; Deli Wang; Tianyunyang Wang; Ming Liu 001 (ROBIO, 2016)

Deep Validation: Toward Detecting Real-World Corner Cases for Deep Neural Networks. - Weibin Wu 002; Hui Xu 009; Sanqiang Zhong; Michael R. Lyu; Irwin King (DSN, 2019)

NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming. - Hui Xu 009; Zhuangbin Chen; Weibin Wu 002; Zhi Jin; Sy-Yen Kuo; Michael R. Lyu (DSN Workshops, 2019)

Boosting the Transferability of Adversarial Samples via Attention. - Weibin Wu 002; Yuxin Su 001; Xixian Chen; Shenglin Zhao; Irwin King; Michael R. Lyu; Yu-Wing Tai (CVPR, 2020)

Towards Global Explanations of Convolutional Neural Networks With Concept Attribution. - Weibin Wu 002; Yuxin Su 001; Xixian Chen; Shenglin Zhao; Irwin King; Michael R. Lyu; Yu-Wing Tai (CVPR, 2020)

Improving the Transferability of Adversarial Samples With Adversarial Transformations. - Weibin Wu 002; Yuxin Su 001; Michael R. Lyu; Irwin King (CVPR, 2021)

Improving Adversarial Transferability via Neuron Attribution-based Attacks. - Jianping Zhang 002; Weibin Wu 002; Jen-tse Huang 001; Yizhan Huang; Wenxuan Wang 001; Yuxin Su 001; Michael R. Lyu (CVPR, 2022)

CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning. - Zihan Li; Weibin Wu 002; Yuxin Su 001; Zibin Zheng; Michael R. Lyu (AAAI, 2023)

Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization. - Jianping Zhang 002; Yizhan Huang; Weibin Wu 002; Michael R. Lyu (CVPR, 2023)

Improving the Transferability of Adversarial Samples by Path-Augmented Method. - Jianping Zhang 002; Jen-tse Huang 001; Wenxuan Wang 001; Yichen Li 003; Weibin Wu 002; Xiaosen Wang; Yuxin Su 001; Michael R. Lyu (CVPR, 2023)

MTTM: Metamorphic Testing for Textual Content Moderation Software. - Wenxuan Wang 001; Jen-tse Huang 001; Weibin Wu 002; Jianping Zhang 002; Yizhan Huang; Shuqing Li 001; Pinjia He; Michael R. Lyu (ICSE, 2023)

Practical and Efficient Model Extraction of Sentiment Analysis APIs. - Weibin Wu 002; Jianping Zhang 002; Victor Junqiu Wei; Xixian Chen; Zibin Zheng; Irwin King; Michael R. Lyu (ICSE, 2023)

Towards Semantics- and Domain-Aware Adversarial Attacks. - Jianping Zhang 002; Yung-Chieh Huang; Weibin Wu 002; Michael R. Lyu (IJCAI, 2023)

Validating Multimedia Content Moderation Software via Semantic Fusion. - Wenxuan Wang 001; Jingyuan Huang; Chang Chen; Jiazhen Gu; Jianping Zhang 002; Weibin Wu 002; Pinjia He; Michael R. Lyu (ISSTA, 2023)

Blurred-Dilated Method for Adversarial Attacks. - Yang Deng; Weibin Wu 002; Jianping Zhang 002; Zibin Zheng (NeurIPS, 2023)

On the Robustness of Latent Diffusion Models. - Jianping Zhang 002; Zhuoer Xu; Shiwen Cui; Changhua Meng; Weibin Wu 002; Michael R. Lyu (CoRR, 2023)

Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools. - Yizhan Huang; Yichen Li 003; Weibin Wu 002; Jianping Zhang 002; Michael R. Lyu (CoRR, 2023)

Curvature-Invariant Adversarial Attacks for 3D Point Clouds. - Jianping Zhang 002; Wenwei Gu; Yizhan Huang; Zhihan Jiang; Weibin Wu 002; Michael R. Lyu (AAAI, 2024)

Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection. - Jianping Zhang 002; Yizhan Huang; Zhuoer Xu; Weibin Wu 002; Michael R. Lyu (AAAI, 2024)

Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement. - Han Wu; Guanyan Ou; Weibin Wu 002; Zibin Zheng (CVPR, 2024)

SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack. - Zihao Pan; Weibin Wu 002; Yuhang Cao; Zibin Zheng (CoRR, 2024)

Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials. - Yizhan Huang; Yichen Li 003; Weibin Wu 002; Jianping Zhang 002; Michael R. Lyu (Proc. ACM Softw. Eng., 2024)

Detecting and Reducing the Factual Hallucinations of Large Language Models with Metamorphic Testing. - Weibin Wu 002; Yuhang Cao; Ning Yi; Rongyi Ou; Zibin Zheng (Proc. ACM Softw. Eng., 2025)

An Empirical Study of Code Clones from Commercial AI Code Generators. - Weibin Wu 002; Haoxuan Hu; Zhaoji Fan; Yitong Qiao; Yizhan Huang; Yichen Li 003; Zibin Zheng; Michael R. Lyu (Proc. ACM Softw. Eng., 2025)