Huanran Chen

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 20

Top Topics

Ensemble Methods

Diffusion Models

Generalization Ability

Top Venues

ECCV Workshops (6)

Publications

Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen
Elucidating the Design Space of Dataset Condensation. CoRR (2024)
Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu
Your Diffusion Model is Secretly a Certifiably Robust Classifier. CoRR (2024)
Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su, Jun Zhu
Rethinking Model Ensemble in Transfer-based Adversarial Attacks. ICLR (2024)
Zikai Zhou, Yunhang Shen, Shitong Shao, Huanran Chen, Linrui Gong, Shaohui Lin
Rethinking Centered Kernel Alignment in Knowledge Distillation. CoRR (2024)
Yihao Zhang, Hangzhou He, Jingyu Zhu, Huanran Chen, Yifei Wang, Zeming Wei
On the Duality Between Sharpness-Aware Minimization and Adversarial Training. CoRR (2024)
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
Benchmarking Trustworthiness of Multimodal Large Language Models: A Comprehensive Study. CoRR (2024)
Shitong Shao, Zhiqiang Shen, Linrui Gong, Huanran Chen, Xu Dai
Precise Knowledge Transfer via Flow Matching. CoRR (2024)
Shengfang Zhai, Huanran Chen, Yinpeng Dong, Jiajun Li, Qingni Shen, Yansong Gao, Hang Su, Yang Liu
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy. CoRR (2024)
Shuo Zhang, Ziruo Wang, Zikai Zhou, Huanran Chen
Boosting Adversarial Attack with Similar Target. CoRR (2023)
Hao Huang, Ziyan Chen, Huanran Chen, Yongtao Wang, Kevin Zhang
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection. CVPR (2023)
Yinpeng Dong, Huanran Chen, Jiawei Chen, Zhengwei Fang, Xiao Yang, Yichi Zhang, Yu Tian, Hang Su, Jun Zhu
How Robust is Google's Bard to Adversarial Image Attacks? CoRR (2023)
Shitong Shao, Xu Dai, Shouyi Yin, Lujun Li, Huanran Chen, Yang Hu
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling. CoRR (2023)
Huanran Chen, Yinpeng Dong, Zhengyi Wang, Xiao Yang, Chengqi Duan, Hang Su, Jun Zhu
Robust Classification via a Single Diffusion Model. CoRR (2023)
Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu
Teaching What You Should Teach: A Data-Based Distillation Method. IJCAI (2023)
Huanran Chen, Yichi Zhang, Yinpeng Dong, Jun Zhu
Rethinking Model Ensemble in Transfer-based Adversarial Attacks. CoRR (2023)
Zikai Zhou, Huanran Chen
AFN: Adaptive Fusion Normalization via Encoder-Decoder Framework. CoRR (2023)
Huanran Chen, Shitong Shao, Ziyi Wang, Zirui Shang, Jin Chen, Xiaofeng Ji, Xinxiao Wu
Bootstrap Generalization Ability from Loss Landscape Perspective. ECCV Workshops (6) (2022)
Huanran Chen, Shitong Shao, Ziyi Wang, Zirui Shang, Jin Chen, Xiaofeng Ji, Xinxiao Wu
Bootstrap Generalization Ability from Loss Landscape Perspective. CoRR (2022)
Shitong Shao, Huanran Chen, Zhen Huang, Linrui Gong, Shuai Wang, Xinxiao Wu
Learning What You Should Learn. CoRR (2022)
Hao Huang, Ziyan Chen, Huanran Chen, Yongtao Wang, Kevin Zhang
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection. CoRR (2022)