Tianyu Pang

Most-cited papers

Boosting Adversarial Attacks with Momentum
Yin-Peng Dong, Fangzhou Liao, Tianyu Pang, Hang Su +3 more
20172018 IEEE/CVF Conference on Computer Vision and Pattern Recognition3,528 citations Open access
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Understanding R1-Zero-Like Training: A Critical Perspective
Zi-Chen Liu, Chang-Yu Chen, Wen J. Li, Penghui Qi +4 more
2025arXiv.org1,510 citations
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Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
Yin-Peng Dong, Tianyu Pang, Hang Su, Jun Zhu
2019Computer Vision and Pattern Recognition1,174 citations Open access
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Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser
Fangzhou Liao, Ming Liang, Yin-Peng Dong, Tianyu Pang +2 more
20172018 IEEE/CVF Conference on Computer Vision and Pattern Recognition1,063 citations Open access
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Improving Adversarial Robustness via Promoting Ensemble Diversity
Tianyu Pang, Kun Xu, Chao Du, Ning Chen +1 more
2019International Conference on Machine Learning525 citations
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LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Chengsong Huang, Qian Liu, Bill Yuchen Lin, Tianyu Pang +2 more
2023arXiv.org444 citations Open access
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On Evaluating Adversarial Robustness of Large Vision-Language Models
Ngai-Man Cheung, Chao Du, Chong-Xuan Li, Min Lin +3 more
2023Neural Information Processing Systems412 citations Open access
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Adversarial Attacks and Defences Competition
Alexey Kurakin, I. Goodfellow, Samy Bengio, Yin-Peng Dong +19 more
2018arXiv.org366 citations Open access
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Better Diffusion Models Further Improve Adversarial Training
Zekai Wang, Tianyu Pang, Chao Du, Min Lin +2 more
2023International Conference on Machine Learning329 citations Open access
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Bag of Tricks for Adversarial Training
Tianyu Pang, Xiao Yang, Yin-Peng Dong, Hang Su +1 more
2020International Conference on Learning Representations313 citations
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Improving Black-box Adversarial Attacks with a Transfer-based Prior
Shuyu Cheng, Yin-Peng Dong, Tianyu Pang, Hang Su +1 more
2019Neural Information Processing Systems310 citations
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Benchmarking Adversarial Robustness on Image Classification
Yin-Peng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang +3 more
2020Computer Vision and Pattern Recognition309 citations
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Towards Robust Detection of Adversarial Examples
Tianyu Pang, Chao Du, Yin-Peng Dong, Jun Zhu
2017Neural Information Processing Systems241 citations
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When Attention Sink Emerges in Language Models: An Empirical View
Xiangming Gu, Tianyu Pang, Chao Du, Qian Liu +4 more
2024International Conference on Learning Representations235 citations
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Scaling up Masked Diffusion Models on Text
Shen Nie, Fengqi Zhu, Chao Du, Tianyu Pang +4 more
2024International Conference on Learning Representations219 citations
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Efficient Diffusion Policies for Offline Reinforcement Learning
Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang +1 more
2023Neural Information Processing Systems204 citations Open access
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RegMix: Data Mixture as Regression for Language Model Pre-training
Qian Liu, Xiaosen Zheng, Niklas Muennighoff, Guang-Tao Zeng +4 more
2024International Conference on Learning Representations201 citations
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A Recipe for Watermarking Diffusion Models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang +2 more
2023arXiv.org201 citations Open access
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Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du +4 more
2024International Conference on Machine Learning188 citations
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Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu +2 more
2024Neural Information Processing Systems183 citations
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Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Tianyu Pang, Min Lin, Xiao Yang, Junyi Zhu +1 more
2022International Conference on Machine Learning181 citations
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Boosting Adversarial Training with Hypersphere Embedding
Tianyu Pang, Xiao Yang, Yin-Peng Dong, Kun Xu +2 more
2020Neural Information Processing Systems171 citations
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Adversarial Distributional Training for Robust Deep Learning
Yin-Peng Dong, Zhijie Deng, Tianyu Pang, Jun Zhu +1 more
2020Neural Information Processing Systems156 citations
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On Memorization in Diffusion Models
Xiangming Gu, Chao Du, Tianyu Pang, Chongxuan Li +2 more
2023Trans. Mach. Learn. Res.144 citations Open access
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Black-box Detection of Backdoor Attacks with Limited Information and Data
Yin-Peng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang +3 more
2021IEEE International Conference on Computer Vision142 citations Open access
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Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
Xiao-Jun Jia, Tianyu Pang, Chao Du, Yi-Hao Huang +4 more
2024International Conference on Learning Representations137 citations
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Towards Face Encryption by Generating Adversarial Identity Masks
Xiao Yang, Yin-Peng Dong, Tianyu Pang, Hang Su +3 more
2020IEEE International Conference on Computer Vision132 citations Open access
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Weak-to-Strong Jailbreaking on Large Language Models
Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du +3 more
2024International Conference on Machine Learning130 citations
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Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
Zhaorui Yang, Qian Liu, Tianyu Pang, Han Wang +3 more
2024Annual Meeting of the Association for Computational Linguistics126 citations
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Finetuning Text-to-Image Diffusion Models for Fairness
Xudong Shen, Chao Du, Tianyu Pang, Min Lin +2 more
2023International Conference on Learning Representations122 citations
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Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks
Tianyu Pang, Kun Xu, Jun Zhu
2019International Conference on Learning Representations116 citations
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Bag of Tricks for Training Data Extraction from Language Models
Wei-Chen Yu, Tianyu Pang, Qian Liu, Chao Du +4 more
2023International Conference on Machine Learning102 citations Open access
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Discovering Adversarial Examples with Momentum
Yin-Peng Dong, Fangzhou Liao, Tianyu Pang, Xiao-Lin Hu +1 more
2017arXiv.org98 citations
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Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu +2 more
2024Neural Information Processing Systems97 citations
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Exploring Memorization in Adversarial Training
Yin-Peng Dong, Ke Xu, Xiao Yang, Tianyu Pang +3 more
2021International Conference on Learning Representations87 citations
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Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior
Yin-Peng Dong, Shuyu Cheng, Tianyu Pang, Hang Su +1 more
2021IEEE Transactions on Pattern Analysis and Machine Intelligence82 citations Open access
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Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety
Xing-Jun Ma, Yi-Feng Gao, Yi-Xu Wang, Ruofan Wang +44 more
2025Found. Trends Priv. Secur.79 citations Open access
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Safety at Scale: A Comprehensive Survey of Large Model Safety
Xingjun Ma, Yi-Feng Gao, Yi-Xu Wang, Ruo-Fan Wang +40 more
2025Robotics67 citations
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Efficient Learning of Generative Models via Finite-Difference Score Matching
Tianyu Pang, Kun Xu, Chong-Xuan Li, Yang Song +2 more
2020Neural Information Processing Systems66 citations
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A Closer Look at Machine Unlearning for Large Language Models
Xiaojian \ Yuan, Tianyu Pang, Chao Du, Kejiang Chen +2 more
2024International Conference on Learning Representations64 citations
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Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift
Siyuan Liang, Jiawei Liang, Tianyu Pang, Chao Du +4 more
2024Computer Vision and Pattern Recognition63 citations Open access
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Bootstrapping Language Models with DPO Implicit Rewards
Chang-Yu Chen, Zi-Chen Liu, Chao Du, Tianyu Pang +4 more
2024International Conference on Learning Representations62 citations
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Test-Time Backdoor Attacks on Multimodal Large Language Models
Dong Lu, Tianyu Pang, Chao Du, Qian Liu +2 more
2024arXiv.org61 citations
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Max-Mahalanobis Linear Discriminant Analysis Networks
Tianyu Pang, Chao Du, Jun Zhu
2018International Conference on Machine Learning60 citations
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Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models
Zehan Wang, Ziang Zhang, Tianyu Pang, Chao Du +2 more
2024arXiv.org58 citations
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Intriguing Properties of Data Attribution on Diffusion Models
Xiaosen Zheng, Tianyu Pang, Chao Du, Jing Jiang +1 more
2023International Conference on Learning Representations57 citations
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Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts
Hongcheng Gao, Tianyu Pang, Chao Du, Tai-Hang Hu +2 more
2024IEEE International Conference on Computer Vision53 citations Open access
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Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks
Xiao Yang, Yin-Peng Dong, Tianyu Pang, Hang Su +1 more
2021European Conference on Computer Vision52 citations Open access
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Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu +2 more
2024International Conference on Learning Representations51 citations
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Denial-of-Service Poisoning Attacks against Large Language Models
Kuo-Feng Gao, Tianyu Pang, Chao Du, Yong Yang +2 more
2024arXiv.org46 citations
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