Tianyu Pang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 98

Top Topics

Neural Dynamics

Data Extraction

Diffusion Models

Linear Discriminant

Top Venues

Publications

Tianlin Li, Qian Liu, Tianyu Pang, Chao Du, Qing Guo, Yang Liu, Min Lin
Purifying Large Language Models by Ensembling a Small Language Model. CoRR (2024)
Jiawei Zhang, Tianyu Pang, Chao Du, Yi Ren, Bo Li, Min Lin
Benchmarking Large Multimodal Models against Common Corruptions. CoRR (2024)
Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin
Bootstrapping Language Models with DPO Implicit Rewards. CoRR (2024)
Zhaorui Yang, Tianyu Pang, Haozhe Feng, Han Wang, Wei Chen, Minfeng Zhu, Qian Liu
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning. ACL (1) (2024)
Xiaosen Zheng, Tianyu Pang, Chao Du, Jing Jiang, Min Lin
Intriguing Properties of Data Attribution on Diffusion Models. ICLR (2024)
Zhaorui Yang, Qian Liu, Tianyu Pang, Han Wang, Haozhe Feng, Minfeng Zhu, Wei Chen
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning. CoRR (2024)
Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models. CoRR (2024)
Yijing Liu, Chao Du, Tianyu Pang, Chongxuan Li, Wei Chen, Min Lin
Graph Diffusion Policy Optimization. CoRR (2024)
Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses. CoRR (2024)
Siyuan Liang, Jiawei Liang, Tianyu Pang, Chao Du, Aishan Liu, Ee-Chien Chang, Xiaochun Cao
Revisiting Backdoor Attacks against Large Vision-Language Models. CoRR (2024)
Tianlin Li, Xiaoyu Zhang, Chao Du, Tianyu Pang, Qian Liu, Qing Guo, Chao Shen, Yang Liu
Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One. CoRR (2024)
Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao, Min Lin
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs. CoRR (2024)
Xudong Shen, Chao Du, Tianyu Pang, Min Lin, Yongkang Wong, Mohan S. Kankanhalli
Finetuning Text-to-Image Diffusion Models for Fairness. ICLR (2024)
Dong Lu, Tianyu Pang, Chao Du, Qian Liu, Xianjun Yang, Min Lin
Test-Time Backdoor Attacks on Multimodal Large Language Models. CoRR (2024)
Vignesh Kothapalli, Tianyu Pang, Shenyang Deng, Zongmin Liu, Yaoqing Yang
Crafting Heavy-Tails in Weight Matrix Spectrum without Gradient Noise. CoRR (2024)
Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang
Weak-to-Strong Jailbreaking on Large Language Models. CoRR (2024)
Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, Min Lin
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast. CoRR (2024)
Qian Liu, Xiaosen Zheng, Niklas Muennighoff, Guangtao Zeng, Longxu Dou, Tianyu Pang, Jing Jiang, Min Lin
RegMix: Data Mixture as Regression for Language Model Pre-training. CoRR (2024)
Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng
On Calibrating Diffusion Probabilistic Models. NeurIPS (2023)
Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows. ICML (2023)
Yefan Zhou, Tianyu Pang, Keqin Liu, Charles H. Martin, Michael W. Mahoney, Yaoqing Yang
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training. NeurIPS (2023)
Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan, Zhijie Deng
On Calibrating Diffusion Probabilistic Models. CoRR (2023)
Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li
Gaussian Mixture Solvers for Diffusion Models. NeurIPS (2023)
Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan
Better Diffusion Models Further Improve Adversarial Training. ICML (2023)
Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan
Bag of Tricks for Training Data Extraction from Language Models. CoRR (2023)
Xiangming Gu, Chao Du, Tianyu Pang, Chongxuan Li, Min Lin, Ye Wang
On Memorization in Diffusion Models. CoRR (2023)
Xudong Shen, Chao Du, Tianyu Pang, Min Lin, Yongkang Wong, Mohan S. Kankanhalli
Finetuning Text-to-Image Diffusion Models for Fairness. CoRR (2023)
Yunqing Zhao, Chao Du, Milad Abdollahzadeh, Tianyu Pang, Min Lin, Shuicheng Yan, Ngai-Man Cheung
Exploring Incompatible Knowledge Transfer in Few-shot Image Generation. CVPR (2023)
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, Min Lin
On Evaluating Adversarial Robustness of Large Vision-Language Models. CoRR (2023)
Yunqing Zhao, Chao Du, Milad Abdollahzadeh, Tianyu Pang, Min Lin, Shuicheng Yan, Ngai-Man Cheung
Exploring Incompatible Knowledge Transfer in Few-shot Image Generation. CoRR (2023)
Zonghan Yang, Tianyu Pang, Yang Liu
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models. CoRR (2023)
Chengsong Huang, Qian Liu, Bill Yuchen Lin, Tianyu Pang, Chao Du, Min Lin
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition. CoRR (2023)
Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan
Efficient Diffusion Policies For Offline Reinforcement Learning. NeurIPS (2023)
Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin
Nonparametric Generative Modeling with Conditional and Locally-Connected Sliced-Wasserstein Flows. CoRR (2023)
Yefan Zhou, Tianyu Pang, Keqin Liu, Charles H. Martin, Michael W. Mahoney, Yaoqing Yang
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training. CoRR (2023)
Xiaosen Zheng, Tianyu Pang, Chao Du, Jing Jiang, Min Lin
Intriguing Properties of Data Attribution on Diffusion Models. CoRR (2023)
Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics. ICML (2023)
Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan
Bag of Tricks for Training Data Extraction from Language Models. ICML (2023)
Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan, Chao Du, Chongxuan Li
Gaussian Mixture Solvers for Diffusion Models. CoRR (2023)
Haozhe Feng, Tianyu Pang, Chao Du, Wei Chen, Shuicheng Yan, Min Lin
Does Federated Learning Really Need Backpropagation? CoRR (2023)
Haozhe Feng, Zhaorui Yang, Hesun Chen, Tianyu Pang, Chao Du, Minfeng Zhu, Wei Chen, Shuicheng Yan
CoSDA: Continual Source-Free Domain Adaptation. CoRR (2023)
Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan
Efficient Diffusion Policies for Offline Reinforcement Learning. CoRR (2023)
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Ngai-Man Cheung, Min Lin
A Recipe for Watermarking Diffusion Models. CoRR (2023)
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, Min Lin
On Evaluating Adversarial Robustness of Large Vision-Language Models. NeurIPS (2023)
Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan
Better Diffusion Models Further Improve Adversarial Training. CoRR (2023)
Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu
Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics. CoRR (2023)
Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu
Exploring Memorization in Adversarial Training. ICLR (2022)
Zonghan Yang, Tianyu Pang, Yang Liu
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models. NeurIPS (2022)
Tianyu Pang, Shuicheng Yan, Min Lin
) Universal Antisymmetry in Fermionic Neural Networks. CoRR (2022)
Tianyu Pang, Min Lin, Xiao Yang, Jun Zhu, Shuicheng Yan
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition. CoRR (2022)
Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart. CVPR (2022)
Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior. CoRR (2022)
Xiao Yang, Yinpeng Dong, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu
Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition. CoRR (2022)
Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu
Query-Efficient Black-Box Adversarial Attacks Guided by a Transfer-Based Prior. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks. ECCV (4) (2022)
Tianyu Pang, Min Lin, Xiao Yang, Jun Zhu, Shuicheng Yan
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition. ICML (2022)
Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks. CoRR (2021)
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
Accumulative Poisoning Attacks on Real-time Data. NeurIPS (2021)
Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue
Towards Face Encryption by Generating Adversarial Identity Masks. ICCV (2021)
Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu
Black-box Detection of Backdoor Attacks with Limited Information and Data. CoRR (2021)
Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang
Unrestricted Adversarial Attacks on ImageNet Competition. CoRR (2021)
Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu
Adversarial Training with Rectified Rejection. CoRR (2021)
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
Accumulative Poisoning Attacks on Real-time Data. CoRR (2021)
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
Bag of Tricks for Adversarial Training. ICLR (2021)
Xiao Yang, Yinpeng Dong, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness. CoRR (2021)
Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu
Black-box Detection of Backdoor Attacks with Limited Information and Data. ICCV (2021)
Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen
Adversarial Attacks on ML Defense Models Competition. CoRR (2021)
Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu
Exploring Memorization in Adversarial Training. CoRR (2021)
Zhijie Deng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
Adversarial Distributional Training for Robust Deep Learning. CoRR (2020)
Yinpeng Dong, Zhijie Deng, Tianyu Pang, Jun Zhu, Hang Su
Adversarial Distributional Training for Robust Deep Learning. NeurIPS (2020)
Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu
Benchmarking Adversarial Robustness on Image Classification. CVPR (2020)
Tianyu Pang, Xiao Yang, Yinpeng Dong, Taufik Xu, Jun Zhu, Hang Su
Boosting Adversarial Training with Hypersphere Embedding. NeurIPS (2020)
Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. ICLR (2020)
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
Bag of Tricks for Adversarial Training. CoRR (2020)
Tianyu Pang, Kun Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu
Efficient Learning of Generative Models via Finite-Difference Score Matching. CoRR (2020)
Tianyu Pang, Taufik Xu, Chongxuan Li, Yang Song, Stefano Ermon, Jun Zhu
Efficient Learning of Generative Models via Finite-Difference Score Matching. NeurIPS (2020)
Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Hang Su, Jun Zhu
Boosting Adversarial Training with Hypersphere Embedding. CoRR (2020)
Xiao Yang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Hang Su
Towards Privacy Protection by Generating Adversarial Identity Masks. CoRR (2020)
Tianyu Pang, Kun Xu, Jun Zhu
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks. ICLR (2020)
Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
Improving Black-box Adversarial Attacks with a Transfer-based Prior. NeurIPS (2019)
Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. CoRR (2019)
Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu
Improving Adversarial Robustness via Promoting Ensemble Diversity. ICML (2019)
Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
Improving Black-box Adversarial Attacks with a Transfer-based Prior. CoRR (2019)
Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu
Benchmarking Adversarial Robustness. CoRR (2019)
Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu
Improving Adversarial Robustness via Promoting Ensemble Diversity. CoRR (2019)
Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks. CoRR (2019)
Tianyu Pang, Kun Xu, Jun Zhu
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks. CoRR (2019)
Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks. CVPR (2019)
Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser. CVPR (2018)
Tianyu Pang, Chao Du, Jun Zhu
Max-Mahalanobis Linear Discriminant Analysis Networks. ICML (2018)
Tianyu Pang, Chao Du, Yinpeng Dong, Jun Zhu
Towards Robust Detection of Adversarial Examples. NeurIPS (2018)
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li
Boosting Adversarial Attacks With Momentum. CVPR (2018)
Yu Chen, Sheng Yan, Tianyu Pang, Rui Chen
Detection of DGA Domains Based on Support Vector Machine. SSIC (2018)
Tianyu Pang, Chao Du, Jun Zhu
Max-Mahalanobis Linear Discriminant Analysis Networks. CoRR (2018)
Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe
Adversarial Attacks and Defences Competition. CoRR (2018)
Tianyu Pang, Chao Du, Jun Zhu
Robust Deep Learning via Reverse Cross-Entropy Training and Thresholding Test. CoRR (2017)
Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Xiaolin Hu
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser. CoRR (2017)
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Xiaolin Hu, Jun Zhu
Discovering Adversarial Examples with Momentum. CoRR (2017)