Neil Zhenqiang Gong

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Jinyuan JiaPh.D. student, Duke UniversityVerified 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
Bin LiuWest Virginia UniversityVerified email at mail.wvu.edu
Hongxia JinSamsung Research AmericaVerified email at acm.org
Ameet TalwalkarCMU and Determined AIVerified email at cmu.edu
Lester MackeyMicrosoft ResearchVerified email at microsoft.com
Guang-zhong SunUniversity of Science and Technology of ChinaVerified email at ustc.edu.cn
Hongbin LiuPh.D. student, Duke UniversityVerified email at duke.edu
Yang ZhangFaculty at CISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Michael BackesChairman and Founding Director of the CISPA Helmholtz Center for Information SecurityVerified email at cispa.saarland
Arvind NarayananAssociate Professor, Princeton UniversityVerified email at cs.princeton.edu
Hui Xiong, Fellow of AAAS and IEEEDistinguished Professor, Rutgers UniversityVerified email at rutgers.edu
Shouling JiZhejiang University & Georgia Institute of TechnologyVerified email at gatech.edu
Raheem BeyahDean and Southern Company Chair, Georgia Tech College of EngineeringVerified email at ece.gatech.edu
Mathias PayerEPFL IC, HexHive LaboratoryVerified email at nebelwelt.net
Vyas SekarTan Family Chair in Electrical and Computer Engineering, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Elaine ShiCarnegie Mellon UniversityVerified email at cs.cmu.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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Stealing Hyperparameters in Machine Learning B Wang, NZ Gong IEEE Symposium on Security and Privacy, 2018	379	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	358	2012
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning M Fang, X Cao, J Jia, NZ Gong USENIX Security Symposium, 2020	309	2020
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	292*	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	252	2012
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	185	2014
Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification X Cao, NZ Gong Annual Computer Security Applications Conference (ACSAC), 2017	179	2017
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	165	2019
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	129*	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	123	2015
Poisoning Attacks to Graph-Based Recommender Systems M Fang, G Yang, NZ Gong, J Liu Annual Computer Security Applications Conference (ACSAC), 2018	121	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	117	2016
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning J Jia, NZ Gong USENIX Security Symposium, 2018	103	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	90	2017
Attribute inference attacks in online social networks NZ Gong, B Liu ACM Transactions on Privacy and Security (TOPS) 21 (1), 1-30, 2018	85	2018
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	84*	2018
AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields J Jia, B Wang, L Zhang, NZ Gong International Conference on World Wide Web (WWW), 2017	81*	2017
Fake Co-visitation Injection Attacks to Recommender Systems G Yang, NZ Gong, Y Cai ISOC Network and Distributed System Security Symposium (NDSS), 2017	78	2017
Backdoor Attacks to Graph Neural Networks Z Zhang, J Jia, B Wang, NZ Gong ACM Symposium on Access Control Models and Technologies (SACMAT), 2021	75	2021
GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs B Wang, NZ Gong, H Fu IEEE International Conference on Data Mining (ICDM), 2017	75	2017

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