Dong, Yinpeng

Improving transferability of adversarial patches on face recognition with generative models

Xiao, Z., Gao, X., Fu, C., Dong, Y., Gao, W., Zhang, X., Zhou, J., & Zhu, J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 132

Black-box Detection of Backdoor Attacks with Limited Information and Data

Dong, Y., Yang, X., Deng, Z., Pang, T., Xiao, Z., Su, H., & Zhu, J. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 92

Exploring the Transferability of Visual Prompting for Multimodal Large Language Models

Zhang, Y., Dong, Y., Zhang, S., Min, T., Su, H., & Zhu, J. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 17

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

Song, H., Huang, S., Dong, Y., & Tu, W.-W. (2023) · arXiv

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 12

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents

Su, H., Luo, J., Liu, C., Yang, X., Zhang, Y., Dong, Y., & Zhu, J. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 11

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

Tian, Y., Yang, X., Zhang, J., Dong, Y., & Su, H. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 10

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

Liu, T., Zhang, Y., Zhao, Z., Dong, Y., Meng, G., & Chen, K. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 8

Exploring the Generalizability of Factual Hallucination Mitigation via Enhancing Precise Knowledge Utilization

Zhang, S., Zhang, Y., Dong, Y., & Su, H. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0