Yinpeng Dong

According to our database, Yinpeng Dong authored at least 86 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction.

Tong Liu, Yingjie Zhang, Zhe Zhao, Yinpeng Dong, Guozhu Meng, Kai Chen

CoRR, 2024

BSPA: Exploring Black-box Stealthy Prompt Attacks against Image Generators.

Yu Tian, Xiao Yang, Yinpeng Dong, Heming Yang, Hang Su, Jun Zhu

CoRR, 2024

Discovering Universal Semantic Triggers for Text-to-Image Synthesis.

Shengfang Zhai, Weilong Wang, Jiajun Li, Yinpeng Dong, Hang Su, Qingni Shen

CoRR, 2024

Your Diffusion Model is Secretly a Certifiably Robust Classifier.

Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu

CoRR, 2024

2023

Batch virtual adversarial training for graph convolutional networks.

Zhijie Deng, Yinpeng Dong, Jun Zhu

AI Open, January, 2023

The Art of Defense: Letting Networks Fool the Attacker.

Jinlai Zhang, Yinpeng Dong, Minchi Kuang, Binbin Liu, Bo Ouyang, Jihong Zhu, Houqing Wang, Yanmei Meng

IEEE Trans. Inf. Forensics Secur., 2023

Towards Transferable Targeted 3D Adversarial Attack in the Physical World.

Yao Huang, Yinpeng Dong, Shouwei Ruan, Xiao Yang, Hang Su, Xingxing Wei

CoRR, 2023

Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training.

Qian Li, Yuxiao Hu, Yinpeng Dong, Dongxiao Zhang, Yuntian Chen

CoRR, 2023

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

CoRR, 2023

Evil Geniuses: Delving into the Safety of LLM-based Agents.

Yu Tian, Xiao Yang, Jingyuan Zhang, Yinpeng Dong, Hang Su

CoRR, 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

CoRR, 2023

Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models.

Haixu Song, Shiyu Huang, Yinpeng Dong, Wei-Wei Tu

CoRR, 2023

Exploring Transferability of Multimodal Adversarial Samples for Vision-Language Pre-training Models with Contrastive Learning.

Youze Wang, Wenbo Hu, Yinpeng Dong, Richang Hong

CoRR, 2023

Improving Viewpoint Robustness for Visual Recognition via Adversarial Training.

Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei

CoRR, 2023

Distributional Modeling for Location-Aware Adversarial Patches.

Xingxing Wei, Shouwei Ruan, Yinpeng Dong, Hang Su

CoRR, 2023

Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks.

Hongcheng Gao, Hao Zhang, Yinpeng Dong, Zhijie Deng

CoRR, 2023

DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks in the Physical World.

Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Hang Su, Xingxing Wei

CoRR, 2023

Robust Classification via a Single Diffusion Model.

Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu

CoRR, 2023

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction.

Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu

CoRR, 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

CoRR, 2023

Rethinking Model Ensemble in Transfer-based Adversarial Attacks.

Huanran Chen, Yichi Zhang, Yinpeng Dong, Jun Zhu

CoRR, 2023

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking.

Chang Liu, Yinpeng Dong, Wenzhao Xiang, Xiao Yang, Hang Su, Jun Zhu, Yuefeng Chen, Yuan He, Hui Xue, Shibao Zheng

CoRR, 2023

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction.

Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning.

Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su

Proceedings of the 31st ACM International Conference on Multimedia, 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

Proceedings of the International Conference on Machine Learning, 2023

Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos.

Yikai Wang, Yinpeng Dong, Fuchun Sun, Xiao Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Viewpoint-Invariant Visual Recognition via Adversarial Training.

Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Compacting Binary Neural Networks by Sparse Kernel Selection.

Yikai Wang, Wenbing Huang, Yinpeng Dong, Fuchun Sun, Anbang Yao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Towards generalizable detection of face forgery via self-guided model-agnostic learning.

Xiao Yang, Shilong Liu, Yinpeng Dong, Hang Su, Lei Zhang, Jun Zhu

Pattern Recognit. Lett., 2022

Query-Efficient Black-Box Adversarial Attacks Guided by a Transfer-Based Prior.

Yinpeng Dong, Shuyu Cheng, Tianyu Pang, Hang Su, Jun Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Artificial Intelligence Security Competition (AISC).

Yinpeng Dong, Peng Chen, Senyou Deng, Lianji L, Yi Sun, Hanyu Zhao, Jiaxing Li, Yunteng Tan, Xinyu Liu, Yangyi Dong, Enhui Xu, Jincai Xu, Shu Xu, Xuelin Fu, Changfeng Sun, Haoliang Han, Xuchong Zhang, Shen Chen, Zhimin Sun, Junyi Cao, Taiping Yao, Shouhong Ding, Yu Wu, Jian Lin, Tianpeng Wu, Ye Wang, Yu Fu, Lin Feng, Kangkang Gao, Zeyu Liu, Yuanzhe Pang, Chengqi Duan, Huipeng Zhou, Yajie Wang, Yuhang Zhao, Shangbo Wu, Haoran Lyu, Zhiyu Lin, Yifei Gao, Shuang Li, Haonan Wang, Jitao Sang, Chen Ma, Junhao Zheng, Yijia Li, Chao Shen, Chenhao Lin, Zhichao Cui, Guoshuai Liu, Huafeng Shi, Kun Hu, Mengxin Zhang

CoRR, 2022

Improving transferability of 3D adversarial attacks with scale and shear transformations.

Jinali Zhang, Yinpeng Dong, Jun Zhu, Jihong Zhu, Minchi Kuang, Xiaming Yuan

CoRR, 2022

Controllable Evaluation and Generation of Physical Adversarial Patch on Face Recognition.

Xiao Yang, Yinpeng Dong, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu

CoRR, 2022

AutoDA: Automated Decision-based Iterative Adversarial Attacks.

Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu, Chao Zhang

Proceedings of the 31st USENIX Security Symposium, 2022

Isometric 3D Adversarial Examples in the Physical World.

Yibo Miao, Yinpeng Dong, Jun Zhu, Xiao-Shan Gao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints.

Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pre-trained Adversarial Perturbations.

Yuanhao Ban, Yinpeng Dong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing.

Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jian Song, Jun Zhu

Proceedings of the International Conference on Machine Learning, 2022

Exploring Memorization in Adversarial Training.

Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Kallima: A Clean-Label Framework for Textual Backdoor Attacks.

Xiaoyi Chen, Yinpeng Dong, Zeyu Sun, Shengfang Zhai, Qingni Shen, Zhonghai Wu

Proceedings of the Computer Security - ESORICS 2022, 2022

Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks.

Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu

Proceedings of the Computer Vision - ECCV 2022, 2022

BadDet: Backdoor Attacks on Object Detection.

Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou

Proceedings of the Computer Vision - ECCV 2022 Workshops, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Unrestricted Adversarial Attacks on ImageNet Competition.

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

CoRR, 2021

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness.

Xiao Yang, Yinpeng Dong, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu

CoRR, 2021

Adversarial Attacks on ML Defense Models Competition.

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

CoRR, 2021

Adversarial Training with Rectified Rejection.

Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu

CoRR, 2021

Automated Decision-based Adversarial Attacks.

Qi-An Fu, Yinpeng Dong, Hang Su, Jun Zhu

CoRR, 2021

Accumulative Poisoning Attacks on Real-time Data.

Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bag of Tricks for Adversarial Training.

Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu

Proceedings of the 9th International Conference on Learning Representations, 2021

Towards Face Encryption by Generating Adversarial Identity Masks.

Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning.

Zhijie Deng, Xiao Yang, Hao Zhang, Yinpeng Dong, Jun Zhu

CoRR, 2020

Delving into the Adversarial Robustness on Face Recognition.

Xiao Yang, Dingcheng Yang, Yinpeng Dong, Wenjian Yu, Hang Su, Jun Zhu

CoRR, 2020

Towards Privacy Protection by Generating Adversarial Identity Masks.

Xiao Yang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Hang Su

CoRR, 2020

Boosting Adversarial Training with Hypersphere Embedding.

Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Hang Su, Jun Zhu

CoRR, 2020

Boosting Adversarial Training with Hypersphere Embedding.

Tianyu Pang, Xiao Yang, Yinpeng Dong, Taufik Xu, Jun Zhu, Hang Su

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Distributional Training for Robust Deep Learning.

Yinpeng Dong, Zhijie Deng, Tianyu Pang, Jun Zhu, Hang Su

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding and Exploring the Network with Stochastic Architectures.

Zhijie Deng, Yinpeng Dong, Shifeng Zhang, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Error-Silenced Quantization: Bridging Robustness and Compactness.

Zhicong Tang, Yinpeng Dong, Hang Su

Proceedings of the Workshop on Artificial Intelligence Safety 2020 co-located with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020), 2020

Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness.

Tianyu Pang, Kun Xu, Yinpeng Dong, Chao Du, Ning Chen, Jun Zhu

Proceedings of the 8th International Conference on Learning Representations, 2020

Benchmarking Adversarial Robustness on Image Classification.

Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Stochastic Quantization for Learning Accurate Low-Bit Deep Neural Networks.

Yinpeng Dong, Renkun Ni, Jianguo Li, Yurong Chen, Hang Su, Jun Zhu

Int. J. Comput. Vis., 2019

Benchmarking Adversarial Robustness.

Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu

CoRR, 2019

Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples.

Yinpeng Dong, Fan Bao, Hang Su, Jun Zhu

CoRR, 2019

Improving Black-box Adversarial Attacks with a Transfer-based Prior.

Shuyu Cheng, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Decision-Based Black-Box Adversarial Attacks on Face Recognition.

Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks.

Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Composite Binary Decomposition Networks.

You Qiaoben, Zheng Wang, Jianguo Li, Yinpeng Dong, Yu-Gang Jiang, Jun Zhu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Adversarial Attacks and Defences Competition.

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

CoRR, 2018

Towards Robust Detection of Adversarial Examples.

Tianyu Pang, Chao Du, Yinpeng Dong, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Visual Knowledge Memory Networks for Visual Question Answering.

Zhou Su, Chen Zhu, Yinpeng Dong, Dongqi Cai, Yurong Chen, Jianguo Li

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser.

Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Boosting Adversarial Attacks With Momentum.

Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Discovering Adversarial Examples with Momentum.

Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Xiaolin Hu, Jun Zhu

CoRR, 2017

Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization.

Yinpeng Dong, Renkun Ni, Jianguo Li, Yurong Chen, Jun Zhu, Hang Su

CoRR, 2017

Forecast the Plausible Paths in Crowd Scenes.

Hang Su, Jun Zhu, Yinpeng Dong, Bo Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Improving Interpretability of Deep Neural Networks with Semantic Information.

Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Learning Accurate Low-Bit Deep Neural Networks with Stochastic Quantization.

Yinpeng Dong, Jianguo Li, Renkun Ni

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Feature Engineering and Ensemble Modeling for Paper Acceptance Rank Prediction.

Yujie Qian, Yinpeng Dong, Ye Ma, Hailong Jin, Juanzi Li

CoRR, 2016

Crowd Scene Understanding with Coherent Recurrent Neural Networks.

Hang Su, Yinpeng Dong, Jun Zhu, Haibin Ling, Bo Zhang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Efficient and Robust Semi-supervised Learning Over a Sparse-Regularized Graph.

Hang Su, Jun Zhu, Zhaozheng Yin, Yinpeng Dong, Bo Zhang

Proceedings of the Computer Vision - ECCV 2016, 2016