Yinpeng Dong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
51
Venues
12
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
51 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Any2Critical: Safety-Critical Scenario Generation from Arbitrary Real-World Driving Contexts. | Yao Huang, Yubo Chen, Ruochen Zhang, Yitong Sun, Shouwei Ruan, Zhenyu Wu, Yinpeng Dong, Xingxing Wei |
| 2026 | AAAI | Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding. | Youze Wang, Zijun Chen, Ruoyu Chen, Shishen Gu, Wenbo Hu, Jiayang Liu, Yinpeng Dong, Hang Su, Jun Zhu, Meng Wang, Richang Hong |
| 2025 | ACL | Breaking the Ceiling: Exploring the Potential of Jailbreak Attacks through Expanding Strategy Space. | Yao Huang, Yitong Sun, Shouwei Ruan, Yichi Zhang, Yinpeng Dong, Xingxing Wei |
| 2025 | EMNLP | Exploring the Generalizability of Factual Hallucination Mitigation via Enhancing Precise Knowledge Utilization. | Siyuan Zhang, Yichi Zhang, Yinpeng Dong, Hang Su |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICML | 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 |
| 2025 | NAACL | AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization via Multi-LLMs. | Jiawei Chen, Xiao Yang, Zhengwei Fang, Yu Tian, Yinpeng Dong, Zhaoxia Yin, Hang Su |
| 2025 | NAACL | Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. | Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Cong Zeng, Tatsuki Kuribayashi, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin |
| 2024 | CVPR | Towards Transferable Targeted 3D Adversarial Attack in the Physical World. | Yao Huang, Yinpeng Dong, Shouwei Ruan, Xiao Yang, Hang Su, Xingxing Wei |
| 2024 | CVPR | Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training. | Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen |
| 2024 | CVPR | Exploring the Transferability of Visual Prompting for Multimodal Large Language Models. | Yichi Zhang, Yinpeng Dong, Siyuan Zhang, Tianzan Min, Hang Su, Jun Zhu |
| 2024 | ECCV | DIFFender: Diffusion-Based Adversarial Defense Against Patch Attacks. | Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Yubo Chen, Hang Su, Xingxing Wei |
| 2024 | ECCV | Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models. | Shouwei Ruan, Yinpeng Dong, Hanqing Liu, Yao Huang, Hang Su, Xingxing Wei |
| 2024 | ICLR | Rethinking Model Ensemble in Transfer-based Adversarial Attacks. | Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu |
| 2024 | ICLR | Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches. | Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei Xie, Hang Su, Jun Zhu |
| 2024 | ICML | Robust Classification via a Single Diffusion Model. | Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | Toward Availability Attacks in 3D Point Clouds. | Yifan Zhu, Yibo Miao, Yinpeng Dong, Xiao-Shan Gao |
| 2023 | CVPR | Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving. | Yinpeng Dong, Caixin Kang, Jinlai Zhang, Zijian Zhu, Yikai Wang, Xiao Yang, Hang Su, Xingxing Wei, Jun Zhu |
| 2023 | CVPR | Compacting Binary Neural Networks by Sparse Kernel Selection. | Yikai Wang, Wenbing Huang, Yinpeng Dong, Fuchun Sun, Anbang Yao |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Understanding the Robustness of 3D Object Detection with Bird'View Representations in Autonomous Driving. | Zijian Zhu, Yichi Zhang, Hai Chen, Yinpeng Dong, Shu Zhao, Wenbo Ding, Jiachen Zhong, Shibao Zheng |
| 2023 | ICCV | Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. | Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei |
| 2023 | ICCV | Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos. | Yikai Wang, Yinpeng Dong, Fuchun Sun, Xiao Yang |
| 2023 | ICML | 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 |
| 2022 | CVPR | 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 |
| 2022 | ECCV | BadDet: Backdoor Attacks on Object Detection. | Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou |
| 2022 | ECCV | Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks. | Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu |
| 2022 | ESORICS | Kallima: A Clean-Label Framework for Textual Backdoor Attacks. | Xiaoyi Chen, Yinpeng Dong, Zeyu Sun, Shengfang Zhai, Qingni Shen, Zhonghai Wu |
| 2022 | ICLR | Exploring Memorization in Adversarial Training. | Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu |
| 2022 | ICML | GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing. | Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu |
| 2021 | CVPR | 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 |
| 2021 | ICCV | 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 |
| 2021 | ICCV | Towards Face Encryption by Generating Adversarial Identity Masks. | Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue |
| 2021 | ICLR | Bag of Tricks for Adversarial Training. | Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu |
| 2020 | CVPR | Benchmarking Adversarial Robustness on Image Classification. | Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu |
| 2020 | ICLR | Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness. | Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu |
| 2020 | IJCAI | Error-Silenced Quantization: Bridging Robustness and Compactness. | Zhicong Tang, Yinpeng Dong, Hang Su |
| 2019 | AAAI | Composite Binary Decomposition Networks. | You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu |
| 2019 | CVPR | Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks. | Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu |
| 2019 | CVPR | Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition. | Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu |
| 2018 | CVPR | Boosting Adversarial Attacks With Momentum. | Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li |
| 2018 | CVPR | Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser. | Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu |
| 2018 | CVPR | Learning Visual Knowledge Memory Networks for Visual Question Answering. | Zhou Su, Chen Zhu, Yinpeng Dong, Dongqi Cai, Yurong Chen, Jianguo Li |
| 2017 | BMVC | Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization. | Yinpeng Dong, Jianguo Li, Renkun Ni |
| 2017 | CVPR | Improving Interpretability of Deep Neural Networks with Semantic Information. | Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang |
| 2017 | IJCAI | Forecast the Plausible Paths in Crowd Scenes. | Hang Su, Jun Zhu, Yinpeng Dong, Bo Zhang |
| 2016 | ECCV | Efficient and Robust Semi-supervised Learning Over a Sparse-Regularized Graph. | Hang Su, Jun Zhu, Zhaozheng Yin, Yinpeng Dong, Bo Zhang |
| 2016 | IJCAI | Crowd Scene Understanding with Coherent Recurrent Neural Networks. | Hang Su, Yinpeng Dong, Jun Zhu, Haibin Ling, Bo Zhang |