Bootstrap Generalization Ability from Loss Landscape Perspective. - Huanran Chen; Shitong Shao; Ziyi Wang; Zirui Shang; Jin Chen 009; Xiaofeng Ji; Xinxiao Wu (ECCV Workshops (6), 2022)

Learning What You Should Learn. - Shitong Shao; Huanran Chen; Zhen Huang 007; Linrui Gong; Shuai Wang 048; Xinxiao Wu (CoRR, 2022)

T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection. - Hao Huang; Ziyan Chen; Huanran Chen; Yongtao Wang; Kevin Zhang (CVPR, 2023)

Teaching What You Should Teach: A Data-Based Distillation Method. - Shitong Shao; Huanran Chen; Zhen Huang 007; Linrui Gong; Shuai Wang 048; Xinxiao Wu (IJCAI, 2023)

Rethinking Model Ensemble in Transfer-based Adversarial Attacks. - Huanran Chen; Yichi Zhang; Yinpeng Dong; Jun Zhu 001 (CoRR, 2023)

Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling. - Shitong Shao; Xu Dai; Shouyi Yin; Lujun Li 001; Huanran Chen; Yang Hu 001 (CoRR, 2023)

AFN: Adaptive Fusion Normalization via Encoder-Decoder Framework. - Zikai Zhou; Huanran Chen (CoRR, 2023)

Boosting Adversarial Attack with Similar Target. - Shuo Zhang; Ziruo Wang; Zikai Zhou; Huanran Chen (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 006; Jun Zhu 001 (CoRR, 2023)

Rethinking Model Ensemble in Transfer-based Adversarial Attacks. - Huanran Chen; Yichi Zhang; Yinpeng Dong; Xiao Yang; Hang Su 006; Jun Zhu 001 (ICLR, 2024)

Robust Classification via a Single Diffusion Model. - Huanran Chen; Yinpeng Dong; Zhengyi Wang; Xiao Yang; Chengqi Duan; Hang Su 006; Jun Zhu 001 (ICML, 2024)

On the Duality Between Sharpness-Aware Minimization and Adversarial Training. - Yihao Zhang; Hangzhou He; Jingyu Zhu; Huanran Chen; Yifei Wang; Zeming Wei (ICML, 2024)

Enhancing Adversarial Attacks: The Similar Target Method. - Shuo Zhang; Ziruo Wang; Zikai Zhou; Jiyao Liu; Huanran Chen (IJCNN, 2024)

Diffusion Models are Certifiably Robust Classifiers. - Huanran Chen; Yinpeng Dong; Shitong Shao; Zhongkai Hao; Xiao Yang; Hang Su 006; Jun Zhu 001 (NeurIPS, 2024)

Elucidating the Design Space of Dataset Condensation. - Shitong Shao; Zikai Zhou; Huanran Chen; Zhiqiang Shen (NeurIPS, 2024)

Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy. - Shengfang Zhai; Huanran Chen; Yinpeng Dong; Jiajun Li; Qingni Shen; Yansong Gao 001; Hang Su 006; Yang Liu 003 (NeurIPS, 2024)

MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models. - Yichi Zhang; Yao Huang; Yitong Sun 002; Chang Liu 077; Zhe Zhao; Zhengwei Fang; Yifan Wang; Huanran Chen; Xiao Yang; Xingxing Wei 001; Hang Su 006; Yinpeng Dong; et al. (NeurIPS, 2024)

Rethinking Centered Kernel Alignment in Knowledge Distillation. - Zikai Zhou; Yunhang Shen; Shitong Shao; Huanran Chen; Linrui Gong; Shaohui Lin (CoRR, 2024)

Precise Knowledge Transfer via Flow Matching. - Shitong Shao; Zhiqiang Shen; Linrui Gong; Huanran Chen; Xu Dai (CoRR, 2024)

Your Diffusion Model is Secretly a Certifiably Robust Classifier. - Huanran Chen; Yinpeng Dong; Shitong Shao; Zhongkai Hao; Xiao Yang; Hang Su 006; Jun Zhu 001 (CoRR, 2024)

Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study. - Yichi Zhang; Yao Huang; Yitong Sun 002; Chang Liu 077; Zhe Zhao; Zhengwei Fang; Yifan Wang; Huanran Chen; Xiao Yang; Xingxing Wei 001; Hang Su 006; Yinpeng Dong; et al. (CoRR, 2024)

ADBM: Adversarial diffusion bridge model for reliable adversarial purification. - Xiao Li; Wenxuan Sun; Huanran Chen; Qiongxiu Li; Yining Liu; Yingzhe He; Jie Shi; Xiaolin Hu (CoRR, 2024)

Scaling Laws for Black box Adversarial Attacks. - Chuan Liu; Huanran Chen; Yichi Zhang; Yinpeng Dong; Jun Zhu 001 (CoRR, 2024)

ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification. - Xiao Li; Wenxuan Sun; Huanran Chen; Qiongxiu Li; Yingzhe He; Jie Shi; Xiaolin Hu (ICLR, 2025)

Towards the Worst-case Robustness of Large Language Models. - Huanran Chen; Yinpeng Dong; Zeming Wei; Hang Su; Jun Zhu (CoRR, 2025)

NaviDet: Efficient Input-level Backdoor Detection on Text-to-Image Synthesis via Neuron Activation Variation. - Shengfang Zhai; Jiajun Li; Yue Liu 008; Huanran Chen; Zhihua Tian; Wenjie Qu 001; Qingni Shen; Ruoxi Jia 001; Yinpeng Dong; Jiaheng Zhang (CoRR, 2025)

Understanding Pre-training and Fine-tuning from Loss Landscape Perspectives. - Huanran Chen; Yinpeng Dong; Zeming Wei; Yao Huang; Yichi Zhang; Hang Su 006; Jun Zhu 001 (CoRR, 2025)

Mitigating Overthinking in Large Reasoning Models via Manifold Steering. - Yao Huang; Huanran Chen; Shouwei Ruan; Yichi Zhang; Xingxing Wei; Yinpeng Dong (CoRR, 2025)

Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation. - Yichi Zhang; Yao Huang; Yifan Wang; Yitong Sun 002; Chang Liu 077; Zhe Zhao; Zhengwei Fang; Huanran Chen; Xiao Yang; Xingxing Wei 001; Hang Su 006; Yinpeng Dong; et al. (CoRR, 2025)

Reliable Unlearning Harmful Information in LLMs with Metamorphosis Representation Projection. - Chengcan Wu; Zeming Wei; Huanran Chen; Yinpeng Dong; Meng Sun (CoRR, 2025)