Xuandong Zhao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 34

Top Topics

Semantic Retrieval

Robust Watermarking

Top Venues

Publications

Tong Zhou, Xuandong Zhao, Xiaolin Xu, Shaolei Ren
Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature. CoRR (2024)
Xuandong Zhao, Prabhanjan Vijendra Ananth, Lei Li, Yu-Xiang Wang
Provable Robust Watermarking for AI-Generated Text. ICLR (2024)
André V. Duarte, Xuandong Zhao, Arlindo L. Oliveira, Lei Li
DE-COP: Detecting Copyrighted Content in Language Models Training Data. CoRR (2024)
Jiayi Fu, Xuandong Zhao, Ruihan Yang, Yuansen Zhang, Jiangjie Chen, Yanghua Xiao
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick. CoRR (2024)
Xuandong Zhao, Lei Li, Yu-Xiang Wang
Permute-and-Flip: An optimally robust and watermarkable decoder for LLMs. CoRR (2024)
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
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews. CoRR (2024)
Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang
Weak-to-Strong Jailbreaking on Large Language Models. CoRR (2024)
Weixin Liang, Yaohui Zhang, Zhengxuan Wu, Haley Lepp, Wenlong Ji, Xuandong Zhao, Hancheng Cao, Sheng Liu, Siyu He, Zhi Huang, Diyi Yang, Christopher Potts, Christopher D. Manning, James Y. Zou
Mapping the Increasing Use of LLMs in Scientific Papers. CoRR (2024)
Shaoshuai Huang, Xuandong Zhao, Dapeng Wei, Xinheng Song, Yuanbo Sun
Chatbot and Fatigued Driver: Exploring the Use of LLM-Based Voice Assistants for Driving Fatigue. CHI Extended Abstracts (2024)
Jiayi Fu, Xuandong Zhao, Ruihan Yang, Yuansen Zhang, Jiangjie Chen, Yanghua Xiao
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick. ACL (1) (2024)
Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King
MarkLLM: An Open-Source Toolkit for LLM Watermarking. CoRR (2024)
Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Yang Wang
Perils of Self-Feedback: Self-Bias Amplifies in Large Language Models. CoRR (2024)
Jielin Qiu, William Han, Xuandong Zhao, Shangbang Long, Christos Faloutsos, Lei Li
Evaluating Durability: Benchmark Insights into Multimodal Watermarking. CoRR (2024)
Xuandong Zhao, Siqi Ouyang, Zhiguo Yu, Ming Wu, Lei Li
Pre-trained Language Models Can be Fully Zero-Shot Learners. ACL (1) (2023)
Xuandong Zhao, Yu-Xiang Wang, Lei Li
Protecting Language Generation Models via Invisible Watermarking. CoRR (2023)
Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang
Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter. UAI (2023)
Xuandong Zhao, Kexun Zhang, Yu-Xiang Wang, Lei Li
Generative Autoencoders as Watermark Attackers: Analyses of Vulnerabilities and Threats. CoRR (2023)
Xuandong Zhao, Yu-Xiang Wang, Lei Li
Protecting Language Generation Models via Invisible Watermarking. ICML (2023)
Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
A Survey on Detection of LLMs-Generated Content. CoRR (2023)
Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang
"Private Prediction Strikes Back!" Private Kernelized Nearest Neighbors with Individual Renyi Filter. CoRR (2023)
Xuandong Zhao, Prabhanjan Ananth, Lei Li, Yu-Xiang Wang
Provable Robust Watermarking for AI-Generated Text. CoRR (2023)
Xuandong Zhao, Siqi Ouyang, Zhiguo Yu, Ming Wu, Lei Li
Pre-trained Language Models can be Fully Zero-Shot Learners. CoRR (2022)
Xuandong Zhao, Lei Li, Yu-Xiang Wang
Distillation-Resistant Watermarking for Model Protection in NLP. CoRR (2022)
Xuandong Zhao, Zhiguo Yu, Ming Wu, Lei Li
Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation. CoRR (2022)
Xuandong Zhao, Lei Li, Yu-Xiang Wang
Provably Confidential Language Modelling. NAACL-HLT (2022)
Xuandong Zhao, Lei Li, Yu-Xiang Wang
Provably Confidential Language Modelling. CoRR (2022)
Xuandong Zhao, Lei Li, Yu-Xiang Wang
Distillation-Resistant Watermarking for Model Protection in NLP. EMNLP (Findings) (2022)
Xuandong Zhao, Zhiguo Yu, Ming Wu, Lei Li
Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation. ACL (Findings) (2022)
Dheeraj Baby, Xuandong Zhao, Yu-Xiang Wang
An Optimal Reduction of TV-Denoising to Adaptive Online Learning. CoRR (2021)
Dheeraj Baby, Xuandong Zhao, Yu-Xiang Wang
An Optimal Reduction of TV-Denoising to Adaptive Online Learning. AISTATS (2021)
Xuandong Zhao, Jinbao Xue, Jin Yu, Xi Li, Hongxia Yang
A Multi-Semantic Metapath Model for Large Scale Heterogeneous Network Representation Learning. CoRR (2020)
Xuandong Zhao, Xiang Li, Ning Guo, Zhiling Zhou, Xiaxia Meng, Quanzheng Li
Multi-Size Computer-Aided Diagnosis Of Positron Emission Tomography Images Using Graph Convolutional Networks. ISBI (2019)
Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging. IEEE BigData (2019)
Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging. CoRR (2019)