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Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees


Sep 04, 2022
Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu

* accepted by CIKM22 

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Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation


Aug 22, 2022
Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen


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Accelerated Federated Learning with Decoupled Adaptive Optimization


Jul 14, 2022
Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou

* ICML 2022 

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FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning


Jun 07, 2022
Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie


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Privacy for Free: How does Dataset Condensation Help Privacy?


Jun 01, 2022
Tian Dong, Bo Zhao, Lingjuan Lyu

* Accepted by ICML 2022 as Oral 

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CalFAT: Calibrated Federated Adversarial Training with Label Skewness


May 30, 2022
Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu


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QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models


May 23, 2022
Jie Zhang, Chen Chen, Jiahua Dong, Ruoxi Jia, Lingjuan Lyu


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Data-Free Adversarial Knowledge Distillation for Graph Neural Networks


May 08, 2022
Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun

* Accepted by IJCAI 2022. arXiv admin note: text overlap with arXiv:2011.14779, arXiv:1912.11006 by other authors 

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PrivateRec: Differentially Private Training and Serving for Federated News Recommendation


Apr 18, 2022
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie


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Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information


Apr 15, 2022
Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, Ruoxi Jia

* 13 pages of the main text 

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