Dong, Yinpeng

58 publications

ICCV 2025 AdvDreamer Unveils: Are Vision-Language Models Truly Ready for Real-World 3D Variations? Shouwei Ruan, Hanqing Liu, Yao Huang, Xiaoqi Wang, Caixin Kang, Hang Su, Yinpeng Dong, Xingxing Wei
NeurIPS 2025 DeceptionBench: A Comprehensive Benchmark for AI Deception Behaviors in Real-World Scenarios Yao Huang, Yitong Sun, Yichi Zhang, Ruochen Zhang, Yinpeng Dong, Xingxing Wei
ICLRW 2025 Efficient Backdoor Detection on Text-to-Image Synthesis via Neuron Activation Variation Shengfang Zhai, Jiajun Li, Yue Liu, Yinpeng Dong, Zhihua Tian, Wenjie Qu, Qingni Shen, Ruoxi Jia, Jiaheng Zhang
ICCV 2025 Efficient Input-Level Backdoor Defense on Text-to-Image Synthesis via Neuron Activation Variation Shengfang Zhai, Jiajun Li, Yue Liu, Huanran Chen, Zhihua Tian, Wenjie Qu, Qingni Shen, Ruoxi Jia, Yinpeng Dong, Jiaheng Zhang
NeurIPS 2025 Mitigating Overthinking in Large Reasoning Models via Manifold Steering Yao Huang, Huanran Chen, Shouwei Ruan, Yichi Zhang, Xingxing Wei, Yinpeng Dong
NeurIPS 2025 Red-Teaming Text-to-Image Systems by Rule-Based Preference Modeling Yichuan Cao, Yibo Miao, Xiao-Shan Gao, Yinpeng Dong
ICML 2025 STAIR: Improving Safety Alignment with Introspective Reasoning Yichi Zhang, Siyuan Zhang, Yao Huang, Zeyu Xia, Zhengwei Fang, Xiao Yang, Ranjie Duan, Dong Yan, Yinpeng Dong, Jun Zhu
ECCV 2024 DIFFender: Diffusion-Based Adversarial Defense Against Patch Attacks Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Yubo Chen, Hang Su, Xingxing Wei
NeurIPSW 2024 DiffTextPure: Defending Large Language Models with Diffusion Purifiers Huanran Chen, Ziruo Wang, Yihan Yang, Shuo Zhang, Zeming Wei, Fusheng Jin, Yinpeng Dong
NeurIPS 2024 Diffusion Models Are Certifiably Robust Classifiers Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu
ICML 2024 Efficient Black-Box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior Shuyu Cheng, Yibo Miao, Yinpeng Dong, Xiao Yang, Xiao-Shan Gao, Jun Zhu
ICLR 2024 Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu
CVPR 2024 Exploring the Transferability of Visual Prompting for Multimodal Large Language Models Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu
CVPR 2024 Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen
NeurIPS 2024 Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective Yibo Miao, Yinpeng Dong, Jinlai Zhang, Lijia Yu, Xiao Yang, Xiao-Shan Gao
ICML 2024 Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning Zhuo Huang, Chang Liu, Yinpeng Dong, Hang Su, Shibao Zheng, Tongliang Liu
NeurIPS 2024 Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy Shengfang Zhai, Huanran Chen, Yinpeng Dong, Jiajun Li, Qingni Shen, Yansong Gao, Hang Su, Yang Liu
NeurIPS 2024 MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu
ECCV 2024 Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-Training Models Shouwei Ruan, Yinpeng Dong, Liu Hanqing, Yao Huang, Hang Su, Xingxing Wei
ICLR 2024 Rethinking Model Ensemble in Transfer-Based Adversarial Attacks Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu
ICML 2024 Robust Classification via a Single Diffusion Model Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu
NeurIPS 2024 T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models Yibo Miao, Yifan Zhu, Lijia Yu, Jun Zhu, Xiao-Shan Gao, Yinpeng Dong
ICML 2024 Toward Availability Attacks in 3D Point Clouds Yifan Zhu, Yibo Miao, Yinpeng Dong, Xiao-Shan Gao
CVPR 2024 Towards Transferable Targeted 3D Adversarial Attack in the Physical World Yao Huang, Yinpeng Dong, Shouwei Ruan, Xiao Yang, Hang Su, Xingxing Wei
CVPR 2023 Benchmarking Robustness of 3D Object Detection to Common Corruptions Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu
CVPR 2023 Compacting Binary Neural Networks by Sparse Kernel Selection Yikai Wang, Wenbing Huang, Yinpeng Dong, Fuchun Sun, Anbang Yao
ICML 2023 GNOT: A General Neural Operator Transformer for Operator Learning Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu
NeurIPSW 2023 How Robust Is Google's Bard to Adversarial Image Attacks? Yinpeng Dong, Huanran Chen, Jiawei Chen, Zhengwei Fang, Xiao Yang, Yichi Zhang, Yu Tian, Hang Su, Jun Zhu
NeurIPS 2023 Learning Sample Difficulty from Pre-Trained Models for Reliable Prediction Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
ICCV 2023 Root Pose Decomposition Towards Generic Non-Rigid 3D Reconstruction with Monocular Videos Yikai Wang, Yinpeng Dong, Fuchun Sun, Xiao Yang
CVPR 2023 Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu
ICCV 2023 Towards Viewpoint-Invariant Visual Recognition via Adversarial Training Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei
CVPR 2023 Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving Zijian Zhu, Yichi Zhang, Hai Chen, Yinpeng Dong, Shu Zhao, Wenbo Ding, Jiachen Zhong, Shibao Zheng
ECCVW 2022 BadDet: Backdoor Attacks on Object Detection Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou
ECCV 2022 Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
ICLR 2022 Exploring Memorization in Adversarial Training Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu
ICML 2022 GSmooth: Certified Robustness Against Semantic Transformations via Generalized Randomized Smoothing Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu
NeurIPS 2022 Isometric 3D Adversarial Examples in the Physical World Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao
NeurIPS 2022 Pre-Trained Adversarial Perturbations Yuanhao Ban, Yinpeng Dong
CVPR 2022 Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu
NeurIPS 2022 ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu
NeurIPS 2021 Accumulative Poisoning Attacks on Real-Time Data Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
ICLR 2021 Bag of Tricks for Adversarial Training Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
ICCV 2021 Black-Box Detection of Backdoor Attacks with Limited Information and Data Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu
ICMLW 2021 Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks Xiao Yang, Yinpeng Dong, Tianyu Pang
CVPR 2021 Improving Transferability of Adversarial Patches on Face Recognition with Generative Models Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu
ICCV 2021 Towards Face Encryption by Generating Adversarial Identity Masks Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue
NeurIPS 2020 Adversarial Distributional Training for Robust Deep Learning Yinpeng Dong, Zhijie Deng, Tianyu Pang, Jun Zhu, Hang Su
NeurIPS 2020 Boosting Adversarial Training with Hypersphere Embedding Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Jun Zhu, Hang Su
ICLR 2020 Rethinking SoftMax Cross-Entropy Loss for Adversarial Robustness Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu
NeurIPS 2020 Understanding and Exploring the Network with Stochastic Architectures Zhijie Deng, Yinpeng Dong, Shifeng Zhang, Jun Zhu
AAAI 2019 Composite Binary Decomposition Networks You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu
NeurIPS 2019 Improving Black-Box Adversarial Attacks with a Transfer-Based Prior Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
NeurIPS 2018 Towards Robust Detection of Adversarial Examples Tianyu Pang, Chao Du, Yinpeng Dong, Jun Zhu
IJCAI 2017 Forecast the Plausible Paths in Crowd Scenes Hang Su, Jun Zhu, Yinpeng Dong, Bo Zhang
CVPR 2017 Improving Interpretability of Deep Neural Networks with Semantic Information Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang
IJCAI 2016 Crowd Scene Understanding with Coherent Recurrent Neural Networks Hang Su, Yinpeng Dong, Jun Zhu, Haibin Ling, Bo Zhang
ECCV 2016 Efficient and Robust Semi-Supervised Learning over a Sparse-Regularized Graph Hang Su, Jun Zhu, Zhaozheng Yin, Yinpeng Dong, Bo Zhang