Neil Zhenqiang Gong

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Jinyuan JiaPostdoc, UIUCVerified email at duke.edu
Binghui WangAssistant Professor, Illinois Institute of TechnologyVerified email at iit.edu
Xiaoyu CaoPhD. Duke UniversityVerified email at duke.edu
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Minghong FangDuke UniversityVerified email at duke.edu
Prateek MittalProfessor, Princeton UniversityVerified email at princeton.edu
Bin LiuWest Virginia UniversityVerified email at mail.wvu.edu
Hongbin LiuPh.D. student, Duke UniversityVerified email at duke.edu
Yang ZhangFaculty at CISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Arvind NarayananAssociate Professor, Princeton UniversityVerified email at cs.princeton.edu
Michael BackesChairman and Founding Director of the CISPA Helmholtz Center for Information SecurityVerified email at cispa.saarland
Ameet TalwalkarCMUVerified email at cmu.edu
Yinzhi CaoJohns Hopkins UniversityVerified email at jhu.edu
Vyas SekarTan Family Chair in Electrical and Computer Engineering, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Wenjie QuHuazhong University of Science and TechnologyVerified email at hust.edu.cn
Peng GaoAssistant Professor, Department of Computer Science, Virginia TechVerified email at vt.edu
Elaine ShiCarnegie Mellon UniversityVerified email at cs.cmu.edu
Xing Xie 谢幸Senior Principal Research Manager, Microsoft, CCF Fellow, IEEE Fellow, ACM Distinguished MemberVerified email at microsoft.com
Xinlei HeCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Yiran ChenProfessor, Electrical and Computer Engineering, Duke UniversityVerified email at duke.edu

Neil Zhenqiang Gong

Assistant Professor, Duke University

Verified email at duke.edu - Homepage

Security Privacy AI Security Social Networks Security


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Local Model Poisoning Attacks to Byzantine-Robust Federated Learning M Fang, X Cao, J Jia, NZ Gong USENIX Security Symposium, 2020	559	2020
Stealing Hyperparameters in Machine Learning B Wang, NZ Gong IEEE Symposium on Security and Privacy, 2018	475	2018
On the feasibility of internet-scale author identification A Narayanan, H Paskov, NZ Gong, J Bethencourt, E Stefanov, ECR Shin, ... IEEE Symposium on Security and Privacy, 2012	382	2012
Joint link prediction and attribute inference using a social-attribute network NZ Gong, A Talwalkar, L Mackey, L Huang, ECR Shin, E Stefanov, ER Shi, ... ACM Transactions on Intelligent Systems and Technology (TIST) 5 (2), 27, 2014	309*	2014
Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+ NZ Gong, W Xu, L Huang, P Mittal, E Stefanov, V Sekar, D Song ACM Internet Measurement Conference (IMC), 2012	262	2012
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples J Jia, A Salem, M Backes, Y Zhang, NZ Gong ACM Conference on Computer and Communications Security (CCS), 2019	244	2019
Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification X Cao, NZ Gong Annual Computer Security Applications Conference (ACSAC), 2017	214	2017
SybilBelief: A Semi-supervised Learning Approach for Structure-based Sybil Detection NZ Gong, M Frank, P Mittal IEEE Transactions on Information Forensics and Security 9 (6), 2014	196	2014
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping X Cao, M Fang, J Liu, NZ Gong ISOC Network and Distributed System Security Symposium (NDSS), 2021	179	2021
Poisoning Attacks to Graph-Based Recommender Systems M Fang, G Yang, NZ Gong, J Liu Annual Computer Security Applications Conference (ACSAC), 2018	156	2018
You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors. NZ Gong, B Liu USENIX Security Symposium, 2016	139	2016
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning J Jia, NZ Gong USENIX Security Symposium, 2018	132	2018
On Your Social Network De-anonymizablity: Quantification and Large Scale Evaluation with Seed Knowledge S Ji, W Li, NZ Gong, P Mittal, R Beyah ISOC Network and Distributed System Security Symposium (NDSS), 2015	132*	2015
Personalized mobile app recommendation: Reconciling app functionality and user privacy preference B Liu, D Kong, L Cen, NZ Gong, H Jin, H Xiong ACM International Conference on Web Search and Data Mining (WSDM), 2015	127	2015
Backdoor Attacks to Graph Neural Networks Z Zhang, J Jia, B Wang, NZ Gong ACM Symposium on Access Control Models and Technologies (SACMAT), 2021	116	2021
Random walk based fake account detection in online social networks J Jia, B Wang, NZ Gong IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2017	112	2017
Attacking Graph-based Classification via Manipulating the Graph Structure B Wang, NZ Gong ACM Conference on Computer and Communications Security (CCS), 2019	105	2019
Attribute inference attacks in online social networks NZ Gong, B Liu ACM Transactions on Privacy and Security (TOPS) 21 (1), 1-30, 2018	104	2018
Fake Co-visitation Injection Attacks to Recommender Systems G Yang, NZ Gong, Y Cai ISOC Network and Distributed System Security Symposium (NDSS), 2017	101	2017
Influence function based data poisoning attacks to top-n recommender systems M Fang, NZ Gong, J Liu Proceedings of The Web Conference, 2020	98	2020

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