Weibin Wu

33 papers A* 16A 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Delta-K: Boosting Multi-Instance Generation via Cross-Attention Augmentation.
CoRR
Zitong Wang, Zijun Shen, Haohao Xu, Zhengjie Luo, Weibin Wu
2026 A* conf
QRShield: Exploiting Vulnerabilities of Latent Diffusion Models for Preventing AI Art Plagiarism.
AAAI
Xunyue Mo, Weibin Wu, Qingrui Tu, Hang Wang, Junxi He, Zibin Zheng
2025 J jnl
An Empirical Study of Code Clones from Commercial AI Code Generators.
Proc. ACM Softw. Eng.
Weibin Wu, Haoxuan Hu, Zhaoji Fan, Yitong Qiao, Yizhan Huang, Yichen Li, Zibin Zheng, Michael R. Lyu
2025 J jnl
An Empirical Study on the Security Vulnerabilities of GPTs.
CoRR
Tong Wu, Weibin Wu, Zibin Zheng
2025 A* conf
Detecting Violations of Physical Common Sense in Images: A Challenge Dataset and Effective Model.
ACM Multimedia
Weibin Wu, Zitong Wang, Zhengjie Luo, Wenqing Chen, Zibin Zheng
2025 J jnl
Detecting and Reducing the Factual Hallucinations of Large Language Models with Metamorphic Testing.
Proc. ACM Softw. Eng.
Weibin Wu, Yuhang Cao, Ning Yi, Rongyi Ou, Zibin Zheng
2024 A* conf
Curvature-Invariant Adversarial Attacks for 3D Point Clouds.
AAAI
Jianping Zhang, Wenwei Gu, Yizhan Huang, Zhihan Jiang, Weibin Wu, Michael R. Lyu
2024 A* conf
Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement.
CVPR
Han Wu, Guanyan Ou, Weibin Wu, Zibin Zheng
2024 A* conf
Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection.
AAAI
Jianping Zhang, Yizhan Huang, Zhuoer Xu, Weibin Wu, Michael R. Lyu
2024 J jnl
SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack.
CoRR
Zihao Pan, Weibin Wu, Yuhang Cao, Zibin Zheng
2024 J jnl
Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials.
Proc. ACM Softw. Eng.
Yizhan Huang, Yichen Li, Weibin Wu, Jianping Zhang, Michael R. Lyu
2023 A* conf
Blurred-Dilated Method for Adversarial Attacks.
NeurIPS
Yang Deng, Weibin Wu, Jianping Zhang, Zibin Zheng
2023 A* conf
CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning.
AAAI
Zihan Li, Weibin Wu, Yuxin Su, Zibin Zheng, Michael R. Lyu
2023 J jnl
Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools.
CoRR
Yizhan Huang, Yichen Li, Weibin Wu, Jianping Zhang, Michael R. Lyu
2023 A* conf
Improving the Transferability of Adversarial Samples by Path-Augmented Method.
CVPR
Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu
2023 J jnl
Improving the Transferability of Adversarial Samples by Path-Augmented Method.
CoRR
Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu
2023 A* conf
MTTM: Metamorphic Testing for Textual Content Moderation Software.
ICSE
Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, Michael R. Lyu
2023 J jnl
MTTM: Metamorphic Testing for Textual Content Moderation Software.
CoRR
Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, Michael R. Lyu
2023 J jnl
On the Robustness of Latent Diffusion Models.
CoRR
Jianping Zhang, Zhuoer Xu, Shiwen Cui, Changhua Meng, Weibin Wu, Michael R. Lyu
2023 A* conf
Practical and Efficient Model Extraction of Sentiment Analysis APIs.
ICSE
Weibin Wu, Jianping Zhang, Victor Junqiu Wei, Xixian Chen, Zibin Zheng, Irwin King, Michael R. Lyu
2023 A* conf
Towards Semantics- and Domain-Aware Adversarial Attacks.
IJCAI
Jianping Zhang, Yung-Chieh Huang, Weibin Wu, Michael R. Lyu
2023 A* conf
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization.
CVPR
Jianping Zhang, Yizhan Huang, Weibin Wu, Michael R. Lyu
2023 J jnl
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization.
CoRR
Jianping Zhang, Yizhan Huang, Weibin Wu, Michael R. Lyu
2023 A conf
Validating Multimedia Content Moderation Software via Semantic Fusion.
ISSTA
Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu
2023 J jnl
Validating Multimedia Content Moderation Software via Semantic Fusion.
CoRR
Wenxuan Wang, Jingyuan Huang, Chang Chen, Jiazhen Gu, Jianping Zhang, Weibin Wu, Pinjia He, Michael R. Lyu
2022 J jnl
Improving Adversarial Transferability via Neuron Attribution-Based Attacks.
CoRR
Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang, Yuxin Su, Michael R. Lyu
2022 A* conf
Improving Adversarial Transferability via Neuron Attribution-based Attacks.
CVPR
Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang, Yuxin Su, Michael R. Lyu
2021 A* conf
Improving the Transferability of Adversarial Samples With Adversarial Transformations.
CVPR
Weibin Wu, Yuxin Su, Michael R. Lyu, Irwin King
2020 A* conf
Boosting the Transferability of Adversarial Samples via Attention.
CVPR
Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai
2020 A* conf
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution.
CVPR
Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai
2019 A conf
Deep Validation: Toward Detecting Real-World Corner Cases for Deep Neural Networks.
DSN
Weibin Wu, Hui Xu, Sanqiang Zhong, Michael R. Lyu, Irwin King
2019 — conf
NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming.
DSN Workshops
Hui Xu, Zhuangbin Chen, Weibin Wu, Zhi Jin, Sy-Yen Kuo, Michael R. Lyu
2016 — conf
A personalized limb rehabilitation training system for stroke patients.
ROBIO
Weibin Wu, Deli Wang, Tianyunyang Wang, Ming Liu