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Data Poisoning Attacks to Deep Learning Based Recommender Systems

Jan 08, 2021
Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu

* To appear in NDSS 2021 

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Practical Blind Membership Inference Attack via Differential Comparisons

Jan 07, 2021
Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao


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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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Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks

Dec 25, 2020
Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong

* Accepted by AAAI 2021 

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Certified Robustness of Nearest Neighbors against Data Poisoning Attacks

Dec 07, 2020
Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong


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Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations

Nov 15, 2020
Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong


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Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes

Oct 26, 2020
Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong

* Accepted by AsiaCCS'21 

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Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks

Sep 04, 2020
Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong


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On the Intrinsic Differential Privacy of Bagging

Aug 22, 2020
Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong


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Backdoor Attacks to Graph Neural Networks

Jun 19, 2020
Zaixi Zhang, Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong


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Stealing Links from Graph Neural Networks

May 05, 2020
Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang


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On Certifying Robustness against Backdoor Attacks via Randomized Smoothing

Feb 26, 2020
Binghui Wang, Xiaoyu Cao, Jinyuan jia, Neil Zhenqiang Gong


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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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Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing

Feb 09, 2020
Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong

* Accepted by WWW'20; This is technical report version 

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Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing

Dec 20, 2019
Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong

* ICLR 2020, code is available at this: https://github.com/jjy1994/Certify_Topk 

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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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IPGuard: Protecting the Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary

Oct 30, 2019
Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong


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MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

Sep 26, 2019
Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong

* To appear in CCS'19 

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Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges

Sep 19, 2019
Jinyuan Jia, Neil Zhenqiang Gong

* Book chapter. arXiv admin note: substantial text overlap with arXiv:1805.04810 

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Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation

Dec 06, 2018
Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong

* To appear in the 26th Annual Network and Distributed System Security Symposium (NDSS), Feb 2019 

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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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AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning

May 13, 2018
Jinyuan Jia, Neil Zhenqiang Gong

* 27th Usenix Security Symposium, Privacy protection using adversarial examples 

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Stealing Hyperparameters in Machine Learning

Feb 20, 2018
Binghui Wang, Neil Zhenqiang Gong

* To appear in the 39th IEEE Symposium on Security and Privacy, May 2018 

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Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification

Jan 11, 2018
Xiaoyu Cao, Neil Zhenqiang Gong

* 33rd Annual Computer Security Applications Conference (ACSAC), 2017 

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