Yuancheng Xu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Text Generation

Top Venues

Traitement du Signal

Publications

Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
Benchmarking the Robustness of Image Watermarks. CoRR (2024)
Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? CoRR (2024)
Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Fuxiao Liu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. ACL (1) (2024)
Mucong Ding, Yuancheng Xu, Tahseen Rabbani, Xiaoyu Liu, Brian J. Gravelle, Teresa M. Ranadive, Tai-Ching Tuan, Furong Huang
Calibrated Dataset Condensation for Faster Hyperparameter Search. CoRR (2024)
Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models. CoRR (2024)
Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. ICLR (2024)
Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. CoRR (2024)
Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness. CoRR (2023)
Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. NeurIPS (2023)
Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness. ICLR (2023)
Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. CoRR (2023)
Yuancheng Xu, Chenghao Deng, Yanchao Sun, Ruijie Zheng, Xiyao Wang, Jieyu Zhao, Furong Huang
Equal Long-term Benefit Rate: Adapting Static Fairness Notions to Sequential Decision Making. CoRR (2023)
Boyu Ying, Yuancheng Xu, Shuai Zhang, Yinggang Shi, Li Liu
Weed Detection in Images of Carrot Fields Based on Improved YOLO v4. Traitement du Signal 38 (2) (2021)
Pengxin Guo, Yuancheng Xu, Baijiong Lin, Yu Zhang
Multi-Task Adversarial Attack. CoRR (2020)
Yuancheng Xu, Athanasse Zafirov, R. Michael Alvarez, Dan Kojis, Min Tan, Christina M. Ramirez
FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features. CoRR (2020)
Hua Liu, Xiaoming Zhang, Yuancheng Xu, Xiaoyong Chen
Efficient Coarse Registration of Pairwise TLS Point Clouds Using Ortho Projected Feature Images. ISPRS Int. J. Geo Inf. 9 (4) (2020)