Ranjie Duan

According to our database, Ranjie Duan authored at least 41 papers between 2020 and 2026.

Collaborative distances:

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

2026

Knowledge-Guided Adversarial Training for Infrared Object Detection via Thermal Radiation Modeling.

Shiji Zhao, Shukun Xiong, Maoxun Yuan, Yao Huang, Ranjie Duan, Qing Guo, Jiansheng Chen, Haibin Duan, Xingxing Wei

Int. J. Comput. Vis., May, 2026

Adversarial Orthogonal Disentanglement for LVLM Hallucination Mitigation.

Ruoxi Cheng, Haoxuan Ma, Zhengfei Hai, Yiyan Huang, Ranjie Duan, Tianle Zhang, Xu Yang, Ziyi Ye, Xingjun Ma

CoRR, May, 2026

Improving Safety Alignment via Balanced Direct Preference Optimization.

Shiji Zhao, Mengyang Wang, Shukun Xiong, Fangzhou Chen, Qihui Zhu, Shouwei Ruan, Yisong Xiao, Ranjie Duan, Xun Chen, Xingxing Wei

CoRR, March, 2026

Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search.

Xun Huang, Simeng Qin, Xiaoshuang Jia, Ranjie Duan, Huanqian Yan, Zhitao Zeng, Fei Yang, Yang Liu, Xiaojun Jia

CoRR, February, 2026

Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language Models.

Xuan Ding, Pengyu Tong, Ranjie Duan, Yunjian Zhang, Rui Sun, Yao Zhu

CoRR, February, 2026

YuFeng-XGuard: A Reasoning-Centric, Interpretable, and Flexible Guardrail Model for Large Language Models.

Junyu Lin, Meizhen Liu, Xiufeng Huang, Jinfeng Li, Haiwen Hong, Xiaohan Yuan, Yuefeng Chen, Longtao Huang, Hui Xue, Ranjie Duan, Zhikai Chen, Yuchuan Fu, Defeng Li, Lingyao Gao, Yitong Yang

CoRR, January, 2026

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5.

Xingjun Ma, Yixu Wang, Hengyuan Xu, Yutao Wu, Yifan Ding, Yunhan Zhao, Zilong Wang, Jiabin Hua, Ming Wen, Jianan Liu, Ranjie Duan, Yifeng Gao, Yingshui Tan, Yunhao Chen, Hui Xue, Xin Wang, Wei Cheng, Jingjing Chen, Zuxuan Wu, Bo Li, Yu-Gang Jiang

CoRR, January, 2026

2025

OmniSafeBench-MM: A Unified Benchmark and Toolbox for Multimodal Jailbreak Attack-Defense Evaluation.

Xiaojun Jia, Jie Liao, Qi Guo, Teng Ma, Simeng Qin, Ranjie Duan, Tianlin Li, Yihao Huang, Zhitao Zeng, Dongxian Wu, Yiming Li, Wenqi Ren, Xiaochun Cao, Yang Liu

CoRR, December, 2025

VRSA: Jailbreaking Multimodal Large Language Models through Visual Reasoning Sequential Attack.

Shiji Zhao, Shukun Xiong, Yao Huang, Yan Jin, Zhenyu Wu, Jiyang Guan, Ranjie Duan, Jialing Tao, Hui Xue, Xingxing Wei

CoRR, December, 2025

SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG.

Xiaonan Si, Meilin Zhu, Simeng Qin, Lijia Yu, Lijun Zhang, Shuaitong Liu, Xinfeng Li, Ranjie Duan, Yang Liu, Xiaojun Jia

CoRR, October, 2025

Energy-Driven Steering: Reducing False Refusals in Large Language Models.

Eric Hanchen Jiang, Weixuan Ou, Run Liu, Shengyuan Pang, Guancheng Wan, Ranjie Duan, Wei Dong, Kai-Wei Chang, XiaoFeng Wang, Ying Nian Wu, Xinfeng Li

CoRR, October, 2025

Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention.

Yichi Zhang, Yue Ding, Jingwen Yang, Tianwei Luo, Dongbai Li, Ranjie Duan, Qiang Liu, Hang Su, Yinpeng Dong, Jun Zhu

CoRR, September, 2025

Oyster-I: Beyond Refusal - Constructive Safety Alignment for Responsible Language Models.

Ranjie Duan, Jiexi Liu, Xiaojun Jia, Shiji Zhao, Ruoxi Cheng, Fengxiang Wang, Cheng Wei, Yong Xie, Chang Liu, Defeng Li, Yinpeng Dong, Yichi Zhang, Yuefeng Chen, Chongwen Wang, Xingjun Ma, Xingxing Wei, Yang Liu, Hang Su, Jun Zhu, Xinfeng Li, Yitong Sun, Jie Zhang, Jinzhao Hu, Sha Xu, Wenchao Yang, Yitong Yang, Xingyao Zhang, Yingshui Tan, Jialing Tao, Hui Xue

CoRR, September, 2025

Strata-Sword: A Hierarchical Safety Evaluation towards LLMs based on Reasoning Complexity of Jailbreak Instructions.

Shiji Zhao, Ranjie Duan, Jiexi Liu, Xiaojun Jia, Fengxiang Wang, Cheng Wei, Ruoxi Cheng, Yong Xie, Chang Liu, Qing Guo, Jialing Tao, Hui Xue, Xingxing Wei

CoRR, September, 2025

Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation.

Shiji Zhao, Chi Chen, Ranjie Duan, Xizhe Wang, Xingxing Wei

CoRR, June, 2025

Enhancing Adversarial Robustness of Vision Language Models via Adversarial Mixture Prompt Tuning.

Shiji Zhao, Qihui Zhu, Shukun Xiong, Shouwei Ruan, Yize Fan, Ranjie Duan, Qing Guo, Xingxing Wei

CoRR, May, 2025

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models.

Jianyu Liu, Hangyu Guo, Ranjie Duan, Xingyuan Bu, Yancheng He, Shilong Li, Hui Huang, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Yingshui Tan, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu

CoRR, April, 2025

Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency.

Shiji Zhao, Ranjie Duan, Fengxiang Wang, Chi Chen, Caixin Kang, Jialing Tao, Yuefeng Chen, Hui Xue, Xingxing Wei

CoRR, January, 2025

RobustPrompt: Learning to defend against adversarial attacks with adaptive visual prompts.

Chang Liu, Wenzhao Xiang, Yinpeng Dong, Xingxing Zhang, Liyuan Wang, Ranjie Duan, Shibao Zheng, Hang Su

Pattern Recognit. Lett., 2025

Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink.

Yining Wang, Mi Zhang, Junjie Sun, Chenyue Wang, Min Yang, Hui Xue, Jialing Tao, Ranjie Duan, Jiexi Liu

Proceedings of the 34th USENIX Security Symposium, 2025

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models.

Jianyu Liu, Hangyu Guo, Ranjie Duan, Xingyuan Bu, Yancheng He, Shilong Li, Hui Huang, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Pei Wang, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

NDM: A Noise-driven Detection and Mitigation Framework against Implicit Sexual Intentions in Text-to-Image Generation.

Yitong Sun, Yao Huang, Ruochen Zhang, Huanran Chen, Shouwei Ruan, Ranjie Duan, Xingxing Wei

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Framework.

Feiran Liu, Yuzhe Zhang, Xinyi Huang, Yinan Peng, Xinfeng Li, Lixu Wang, Yutong Shen, Ranjie Duan, Simeng Qin, Xiaojun Jia, Qingsong Wen, Wei Dong

Proceedings of the 33rd ACM International Conference on Multimedia, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency.

Shiji Zhao, Ranjie Duan, Fengxiang Wang, Chi Chen, Caixin Kang, Shouwei Ruan, Jialing Tao, Yuefeng Chen, Hui Xue, Xingxing Wei

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models.

Teng Ma, Xiaojun Jia, Ranjie Duan, Xinfeng Li, Yihao Huang, Xiaoshuang Jia, Zhixuan Chu, Wenqi Ren

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

PBI-Attack: Prior-Guided Bimodal Interactive Black-Box Jailbreak Attack for Toxicity Maximization.

Ruoxi Cheng, Yizhong Ding, Shuirong Cao, Ranjie Duan, Xiaoshuang Jia, Shaowei Yuan, Simeng Qin, Zhiqiang Wang, Xiaojun Jia

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging.

Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Yang Liu, Xiaochun Cao

IEEE Trans. Inf. Forensics Secur., 2024

Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models.

Ma Teng, Xiaojun Jia, Ranjie Duan, Xinfeng Li, Yihao Huang, Zhixuan Chu, Yang Liu, Wenqi Ren

CoRR, 2024

PBI-Attack: Prior-Guided Bimodal Interactive Black-Box Jailbreak Attack for Toxicity Maximization.

Ruoxi Cheng, Yizhong Ding, Shuirong Cao, Ranjie Duan, Xiaoshuang Jia, Shaowei Yuan, Zhiqiang Wang, Xiaojun Jia

CoRR, 2024

MRJ-Agent: An Effective Jailbreak Agent for Multi-Round Dialogue.

Fengxiang Wang, Ranjie Duan, Peng Xiao, Xiaojun Jia, Yuefeng Chen, Chongwen Wang, Jialing Tao, Hang Su, Jun Zhu, Hui Xue

CoRR, 2024

RT-Attack: Jailbreaking Text-to-Image Models via Random Token.

Sensen Gao, Xiaojun Jia, Yihao Huang, Ranjie Duan, Jindong Gu, Yang Liu, Qing Guo

CoRR, 2024

Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation.

Shiji Zhao, Ranjie Duan, Xizhe Wang, Xingxing Wei

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging.

Xiaojun Jia, Yuefeng Chen, Xiaofeng Mao, Ranjie Duan, Jindong Gu, Rong Zhang, Hui Xue, Xiaochun Cao

CoRR, 2023

Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training.

Gege Qi, Yuefeng Chen, Xiaofeng Mao, Xiaojun Jia, Ranjie Duan, Rong Zhang, Hui Xue

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Inequality phenomenon in l_∞-adversarial training, and its unrealized threats.

Ranjie Duan, Yuefeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Enhance the Visual Representation via Discrete Adversarial Training.

Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue

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

Towards Robust Vision Transformer.

Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Ranjie Duan, Shaokai Ye, Yuan He, Hui Xue

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

2021

AdvDrop: Adversarial Attack to DNNs by Dropping Information.

Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. K. Qin, Yuan He

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

Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink.

Ranjie Duan, Xiaofeng Mao, A. K. Qin, Yuefeng Chen, Shaokai Ye, Yuan He, Yun Yang

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

2020

Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles.

Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang

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