| 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 | 301 | 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 | 246* | 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 | 233 | 2012 |
| Stealing Hyperparameters in Machine Learning B Wang, NZ Gong IEEE Symposium on Security and Privacy, 2018 | 192 | 2018 |
| 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 | 143 | 2014 |
| 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 | 103* | 2015 |
| Personalized mobile app recommendation: Reconciling app functionality and user privacy preference B Liu, D Kong, L Cen, NZ Gong, H Jin, H Xiong Proceedings of the Eighth ACM International Conference on Web Search and …, 2015 | 100 | 2015 |
| Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification X Cao, NZ Gong Annual Computer Security Applications Conference (ACSAC), 2017 | 97 | 2017 |
| 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, 979-995, 2016 | 66 | 2016 |
| 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 | 59* | 2018 |
| Local Model Poisoning Attacks to Byzantine-Robust Federated Learning M Fang, X Cao, J Jia, NZ Gong USENIX Security Symposium, 2020 | 53 | 2020 |
| AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning J Jia, NZ Gong USENIX Security Symposium, 2018 | 53 | 2018 |
| Protecting privacy in location-based services using k-anonymity without cloaked region Z Gong, GZ Sun, X Xie 2010 Eleventh International Conference on Mobile Data Management, 366-371, 2010 | 52 | 2010 |
| 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 | 50 | 2019 |
| Random walk based fake account detection in online social networks J Jia, B Wang, NZ Gong 2017 47th Annual IEEE/IFIP International Conference on Dependable Systems …, 2017 | 48 | 2017 |
| SybilSCAR: Sybil detection in online social networks via local rule based propagation B Wang, L Zhang, NZ Gong IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 44 | 2017 |
| AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields J Jia, B Wang, L Zhang, NZ Gong Proceedings of the 26th International Conference on World Wide Web (WWW …, 2017 | 44 | 2017 |
| GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs B Wang, NZ Gong, H Fu 2017 IEEE International Conference on Data Mining (ICDM), 465-474, 2017 | 43 | 2017 |
| Poisoning Attacks to Graph-Based Recommender Systems M Fang, G Yang, NZ Gong, J Liu Annual Computer Security Applications Conference (ACSAC), 2018 | 42 | 2018 |
| Attribute inference attacks in online social networks NZ Gong, B Liu ACM Transactions on Privacy and Security (TOPS) 21 (1), 1-30, 2018 | 40 | 2018 |
Binghui WangPostdoc., Duke UniversityVerifierad e-postadress på duke.edu
