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Xingjun Ma

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FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning

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May 20, 2024
Liuzhi Zhou, Yu He, Kun Zhai, Xiang Liu, Sen Liu, Xingjun Ma, Guangnan Ye, Yu-Gang Jiang, Hongfeng Chai

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Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models

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May 09, 2024
Yang Bai, Ge Pei, Jindong Gu, Yong Yang, Xingjun Ma

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The Dog Walking Theory: Rethinking Convergence in Federated Learning

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Apr 18, 2024
Kun Zhai, Yifeng Gao, Xingjun Ma, Difan Zou, Guangnan Ye, Yu-Gang Jiang

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The Double-Edged Sword of Input Perturbations to Robust Accurate Fairness

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Apr 01, 2024
Xuran Li, Peng Wu, Yanting Chen, Xingjun Ma, Zhen Zhang, Kaixiang Dong

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Whose Side Are You On? Investigating the Political Stance of Large Language Models

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Mar 15, 2024
Pagnarasmey Pit, Xingjun Ma, Mike Conway, Qingyu Chen, James Bailey, Henry Pit, Putrasmey Keo, Watey Diep, Yu-Gang Jiang

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Hufu: A Modality-Agnositc Watermarking System for Pre-Trained Transformers via Permutation Equivariance

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Mar 09, 2024
Hengyuan Xu, Liyao Xiang, Xingjun Ma, Borui Yang, Baochun Li

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Unlearnable Examples For Time Series

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Feb 03, 2024
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey

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Multi-Trigger Backdoor Attacks: More Triggers, More Threats

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Jan 27, 2024
Yige Li, Xingjun Ma, Jiabo He, Hanxun Huang, Yu-Gang Jiang

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LDReg: Local Dimensionality Regularized Self-Supervised Learning

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Jan 19, 2024
Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey

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End-to-End Anti-Backdoor Learning on Images and Time Series

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Jan 06, 2024
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, Yige Li, James Bailey

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