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Data Poisoning Attacks and Defenses to Crowdsourcing Systems

Feb 18, 2021
Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu

* To appear in the Web Conference 2021 (WWW '21) 

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Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning

Jan 27, 2021
Haibo Yang, Minghong Fang, Jia Liu

* Published as a conference paper at ICLR 2021 

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FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Dec 27, 2020
Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong

* To appear in NDSS 2021 

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Toward Low-Cost and Stable Blockchain Networks

Feb 26, 2020
Minghong Fang, Jia Liu

* Accepted by IEEE ICC 2020 

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Influence Function based Data Poisoning Attacks to Top-N Recommender Systems

Feb 19, 2020
Minghong Fang, Neil Zhenqiang Gong, Jia Liu

* Accepted by WWW 2020; This is technical report version 

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Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach

Jan 19, 2020
Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu

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Local Model Poisoning Attacks to Byzantine-Robust Federated Learning

Nov 26, 2019
Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong

* The paper was submitted to Usenix Security Symposium in February 2019 and will appear in Usenix Security Symposium 2020 

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Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach

Sep 10, 2019
Haibo Yang, Xin Zhang, Minghong Fang, Jia Liu

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Poisoning Attacks to Graph-Based Recommender Systems

Sep 11, 2018
Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu

* 34th Annual Computer Security Applications Conference (ACSAC), 2018; Due to the limitation "The abstract field cannot be longer than 1,920 characters", the abstract appearing here is slightly shorter than that in the PDF file 

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