Huanran Chen - RankMe

40 papers A* 11B 1Journal 27Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ClawWorm: Self-Propagating Attacks Across LLM Agent Ecosystems. CoRR Yihao Zhang, Zeming Wei, Xiaokun Luan, Chengcan Wu, Zhixin Zhang, Jiangrong Wu, Haolin Wu, Huanran Chen, Jun Sun, Meng Sun
2025	A*	`conf`	ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification. ICLR Xiao Li, Wenxuan Sun, Huanran Chen, Qiongxiu Li, Yingzhe He, Jie Shi, Xiaolin Hu
2025	J	`jnl`	Diffusion Models as Dataset Distillation Priors. CoRR Duo Su, Huyu Wu, Huanran Chen, Yiming Shi, Yuzhu Wang, Xi Ye, Jun Zhu
2025	J	`jnl`	Mitigating Overthinking in Large Reasoning Models via Manifold Steering. CoRR Yao Huang, Huanran Chen, Shouwei Ruan, Yichi Zhang, Xingxing Wei, Yinpeng Dong
2025	A*	`conf`	NDM: A Noise-driven Detection and Mitigation Framework against Implicit Sexual Intentions in Text-to-Image Generation. ACM Multimedia Yitong Sun, Yao Huang, Ruochen Zhang, Huanran Chen, Shouwei Ruan, Ranjie Duan, Xingxing Wei
2025	J	`jnl`	NDM: A Noise-driven Detection and Mitigation Framework against Implicit Sexual Intentions in Text-to-Image Generation. CoRR Yitong Sun, Yao Huang, Ruochen Zhang, Huanran Chen, Shouwei Ruan, Ranjie Duan, Xingxing Wei
2025	J	`jnl`	NaviDet: Efficient Input-level Backdoor Detection on Text-to-Image Synthesis via Neuron Activation Variation. CoRR Shengfang Zhai, Jiajun Li, Yue Liu, Huanran Chen, Zhihua Tian, Wenjie Qu, Qingni Shen, Ruoxi Jia, Yinpeng Dong, Jiaheng Zhang
2025	J	`jnl`	Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection. CoRR Chengcan Wu, Zeming Wei, Huanran Chen, Yinpeng Dong, Meng Sun
2025	J	`jnl`	Towards the Worst-case Robustness of Large Language Models. CoRR Huanran Chen, Yinpeng Dong, Zeming Wei, Hang Su, Jun Zhu
2025	J	`jnl`	Understanding Pre-training and Fine-tuning from Loss Landscape Perspectives. CoRR Huanran Chen, Yinpeng Dong, Zeming Wei, Yao Huang, Yichi Zhang, Hang Su, Jun Zhu
2025	J	`jnl`	Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation. CoRR Yichi Zhang, Yao Huang, Yifan Wang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu
2024	J	`jnl`	ADBM: Adversarial diffusion bridge model for reliable adversarial purification. CoRR Xiao Li, Wenxuan Sun, Huanran Chen, Qiongxiu Li, Yining Liu, Yingzhe He, Jie Shi, Xiaolin Hu
2024	J	`jnl`	Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study. CoRR 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
2024	A*	`conf`	Diffusion Models are Certifiably Robust Classifiers. NeurIPS Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu
2024	A*	`conf`	Elucidating the Design Space of Dataset Condensation. NeurIPS Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen
2024	J	`jnl`	Elucidating the Design Space of Dataset Condensation. CoRR Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen
2024	B	`conf`	Enhancing Adversarial Attacks: The Similar Target Method. IJCNN Shuo Zhang, Ziruo Wang, Zikai Zhou, Jiyao Liu, Huanran Chen
2024	A*	`conf`	Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy. NeurIPS Shengfang Zhai, Huanran Chen, Yinpeng Dong, Jiajun Li, Qingni Shen, Yansong Gao, Hang Su, Yang Liu
2024	J	`jnl`	Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy. CoRR Shengfang Zhai, Huanran Chen, Yinpeng Dong, Jiajun Li, Qingni Shen, Yansong Gao, Hang Su, Yang Liu
2024	A*	`conf`	MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models. NeurIPS 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
2024	A*	`conf`	On the Duality Between Sharpness-Aware Minimization and Adversarial Training. ICML Yihao Zhang, Hangzhou He, Jingyu Zhu, Huanran Chen, Yifei Wang, Zeming Wei
2024	J	`jnl`	On the Duality Between Sharpness-Aware Minimization and Adversarial Training. CoRR Yihao Zhang, Hangzhou He, Jingyu Zhu, Huanran Chen, Yifei Wang, Zeming Wei
2024	J	`jnl`	Precise Knowledge Transfer via Flow Matching. CoRR Shitong Shao, Zhiqiang Shen, Linrui Gong, Huanran Chen, Xu Dai
2024	J	`jnl`	Rethinking Centered Kernel Alignment in Knowledge Distillation. CoRR Zikai Zhou, Yunhang Shen, Shitong Shao, Huanran Chen, Linrui Gong, Shaohui Lin
2024	A*	`conf`	Rethinking Model Ensemble in Transfer-based Adversarial Attacks. ICLR Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu
2024	A*	`conf`	Robust Classification via a Single Diffusion Model. ICML Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu
2024	J	`jnl`	Scaling Laws for Black box Adversarial Attacks. CoRR Chuan Liu, Huanran Chen, Yichi Zhang, Yinpeng Dong, Jun Zhu
2024	J	`jnl`	Your Diffusion Model is Secretly a Certifiably Robust Classifier. CoRR Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu
2023	J	`jnl`	AFN: Adaptive Fusion Normalization via Encoder-Decoder Framework. CoRR Zikai Zhou, Huanran Chen
2023	J	`jnl`	Boosting Adversarial Attack with Similar Target. CoRR Shuo Zhang, Ziruo Wang, Zikai Zhou, Huanran Chen
2023	J	`jnl`	Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling. CoRR Shitong Shao, Xu Dai, Shouyi Yin, Lujun Li, Huanran Chen, Yang Hu
2023	J	`jnl`	How Robust is Google's Bard to Adversarial Image Attacks? CoRR Yinpeng Dong, Huanran Chen, Jiawei Chen, Zhengwei Fang, Xiao Yang, Yichi Zhang, Yu Tian, Hang Su, Jun Zhu
2023	J	`jnl`	Rethinking Model Ensemble in Transfer-based Adversarial Attacks. CoRR Huanran Chen, Yichi Zhang, Yinpeng Dong, Jun Zhu
2023	J	`jnl`	Robust Classification via a Single Diffusion Model. CoRR Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu
2023	A*	`conf`	T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection. CVPR Hao Huang, Ziyan Chen, Huanran Chen, Yongtao Wang, Kevin Zhang
2023	A*	`conf`	Teaching What You Should Teach: A Data-Based Distillation Method. IJCAI Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu
2022	—	`conf`	Bootstrap Generalization Ability from Loss Landscape Perspective. ECCV Workshops (6) Huanran Chen, Shitong Shao, Ziyi Wang, Zirui Shang, Jin Chen, Xiaofeng Ji, Xinxiao Wu
2022	J	`jnl`	Bootstrap Generalization Ability from Loss Landscape Perspective. CoRR Huanran Chen, Shitong Shao, Ziyi Wang, Zirui Shang, Jin Chen, Xiaofeng Ji, Xinxiao Wu
2022	J	`jnl`	Learning What You Should Learn. CoRR Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu
2022	J	`jnl`	T-SEA: Transfer-based Self-Ensemble Attack on Object Detection. CoRR Hao Huang, Ziyan Chen, Huanran Chen, Yongtao Wang, Kevin Zhang