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
Prateek MittalProfessor, Princeton UniversityVerified email at princeton.edu
Minghong FangDuke UniversityVerified email at duke.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
Ameet TalwalkarCMUVerified email at cmu.edu
Michael BackesChairman and Founding Director of the CISPA Helmholtz Center for Information SecurityVerified email at cispa.saarland
Vyas SekarTan Family Chair in Electrical and Computer Engineering, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Yinzhi CaoJohns Hopkins UniversityVerified email at jhu.edu
Elaine ShiCarnegie Mellon UniversityVerified email at cs.cmu.edu
Peng GaoAssistant Professor, Department of Computer Science, Virginia TechVerified email at vt.edu
Xing Xie 谢幸Senior Principal Research Manager, Microsoft, CCF Fellow, IEEE Fellow, ACM Distinguished MemberVerified email at microsoft.com
Wenjie QuHuazhong University of Science and TechnologyVerified email at hust.edu.cn
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	454	2020
Stealing Hyperparameters in Machine Learning B Wang, NZ Gong IEEE Symposium on Security and Privacy, 2018	438	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	371	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	303*	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	258	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	217	2019
Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification X Cao, NZ Gong Annual Computer Security Applications Conference (ACSAC), 2017	203	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	190	2014
Poisoning Attacks to Graph-Based Recommender Systems M Fang, G Yang, NZ Gong, J Liu Annual Computer Security Applications Conference (ACSAC), 2018	142	2018
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	133	2021
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	131*	2015
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	130	2016
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	125	2015
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning J Jia, NZ Gong USENIX Security Symposium, 2018	121	2018
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	107	2017
Attribute inference attacks in online social networks NZ Gong, B Liu ACM Transactions on Privacy and Security (TOPS) 21 (1), 1-30, 2018	99	2018
Backdoor Attacks to Graph Neural Networks Z Zhang, J Jia, B Wang, NZ Gong ACM Symposium on Access Control Models and Technologies (SACMAT), 2021	93	2021
Attacking Graph-based Classification via Manipulating the Graph Structure B Wang, NZ Gong ACM Conference on Computer and Communications Security (CCS), 2019	93	2019
SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection P Gao, B Wang, NZ Gong, SR Kulkarni, K Thomas, P Mittal IEEE Conference on Communications and Network Security (CNS), 2018	89*	2018
Fake Co-visitation Injection Attacks to Recommender Systems G Yang, NZ Gong, Y Cai ISOC Network and Distributed System Security Symposium (NDSS), 2017	88	2017

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