Xuandong Zhao

According to our database, Xuandong Zhao authored at least 19 papers between 2019 and 2024.

Collaborative distances:

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

2024

Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews.

Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel A. McFarland, James Y. Zou

CoRR, 2024

GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick.

Jiayi Fu, Xuandong Zhao, Ruihan Yang, Yuansen Zhang, Jiangjie Chen, Yanghua Xiao

CoRR, 2024

Perils of Self-Feedback: Self-Bias Amplifies in Large Language Models.

Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Yang Wang

CoRR, 2024

DE-COP: Detecting Copyrighted Content in Language Models Training Data.

André V. Duarte, Xuandong Zhao, Arlindo L. Oliveira, Lei Li

CoRR, 2024

Permute-and-Flip: An optimally robust and watermarkable decoder for LLMs.

Xuandong Zhao, Lei Li, Yu-Xiang Wang

CoRR, 2024

Weak-to-Strong Jailbreaking on Large Language Models.

Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang

CoRR, 2024

2023

A Survey on Detection of LLMs-Generated Content.

Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng

CoRR, 2023

Provable Robust Watermarking for AI-Generated Text.

Xuandong Zhao, Prabhanjan Ananth, Lei Li, Yu-Xiang Wang

CoRR, 2023

Generative Autoencoders as Watermark Attackers: Analyses of Vulnerabilities and Threats.

Xuandong Zhao, Kexun Zhang, Yu-Xiang Wang, Lei Li

CoRR, 2023

Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter.

Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Protecting Language Generation Models via Invisible Watermarking.

Xuandong Zhao, Yu-Xiang Wang, Lei Li

Proceedings of the International Conference on Machine Learning, 2023

Pre-trained Language Models Can be Fully Zero-Shot Learners.

Xuandong Zhao, Siqi Ouyang, Zhiguo Yu, Ming Wu, Lei Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Provably Confidential Language Modelling.

Xuandong Zhao, Lei Li, Yu-Xiang Wang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Distillation-Resistant Watermarking for Model Protection in NLP.

Xuandong Zhao, Lei Li, Yu-Xiang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation.

Xuandong Zhao, Zhiguo Yu, Ming Wu, Lei Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

An Optimal Reduction of TV-Denoising to Adaptive Online Learning.

Dheeraj Baby, Xuandong Zhao, Yu-Xiang Wang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning.

Xuandong Zhao, Jinbao Xue, Jin Yu, Xi Li, Hongxia Yang

CoRR, 2020

2019

Multi-Size Computer-Aided Diagnosis Of Positron Emission Tomography Images Using Graph Convolutional Networks.

Xuandong Zhao, Xiang Li, Ning Guo, Zhiling Zhou, Xiaxia Meng, Quanzheng Li

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging.

Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019