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Xiaojun Xu

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Learning to Watermark LLM-generated Text via Reinforcement Learning

Mar 13, 2024
Xiaojun Xu, Yuanshun Yao, Yang Liu

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Rethinking Machine Unlearning for Large Language Models

Feb 15, 2024
Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Xiaojun Xu, Yuguang Yao, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu

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Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors

Feb 12, 2024
Dinuka Sahabandu, Xiaojun Xu, Arezoo Rajabi, Luyao Niu, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran

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Integrating Chemical Language and Molecular Graph in Multimodal Fused Deep Learning for Drug Property Prediction

Dec 29, 2023
Xiaohua Lu, Liangxu Xie, Lei Xu, Rongzhi Mao, Shan Chang, Xiaojun Xu

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Effective and Efficient Federated Tree Learning on Hybrid Data

Oct 18, 2023
Qinbin Li, Chulin Xie, Xiaojun Xu, Xiaoyuan Liu, Ce Zhang, Bo Li, Bingsheng He, Dawn Song

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Large Language Model Unlearning

Oct 14, 2023
Yuanshun Yao, Xiaojun Xu, Yang Liu

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EDoG: Adversarial Edge Detection For Graph Neural Networks

Dec 27, 2022
Xiaojun Xu, Yue Yu, Hanzhang Wang, Alok Lal, Carl A. Gunter, Bo Li

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UniFed: A Benchmark for Federated Learning Frameworks

Jul 21, 2022
Xiaoyuan Liu, Tianneng Shi, Chulin Xie, Qinbin Li, Kangping Hu, Haoyu Kim, Xiaojun Xu, Bo Li, Dawn Song

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Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization

Feb 03, 2022
Xiaojun Xu, Jacky Yibo Zhang, Evelyn Ma, Danny Son, Oluwasanmi Koyejo, Bo Li

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On the Certified Robustness for Ensemble Models and Beyond

Jul 22, 2021
Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li

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