Publications

[Google Scholar]

[By year][By topic]

Preprint

• Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong. "IPGuard: Protecting Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary". In ACM ASIA Conference on Computer and Communications Security (ASIACCS), 2021.
• Jinyuan Jia, Binghui Wang, and Neil Zhenqiang Gong. "Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes". In ACM ASIA Conference on Computer and Communications Security (ASIACCS), 2021.
• Xiaoyu Cao, Minghong Fang, Jia Liu, and Neil Zhenqiang Gong. "FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping". In ISOC Network and Distributed System Security Symposium (NDSS), 2021.
• Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, and Yinzhi Cao. "Practical Blind Membership Inference Attack via Differential Comparisons". In ISOC Network and Distributed System Security Symposium (NDSS), 2021.
• Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, and Mingwei Xu. "Data Poisoning Attacks to Deep Learning Based Recommender Systems". In ISOC Network and Distributed System Security Symposium (NDSS), 2021.
• Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong. "Provably Secure Federated Learning against Malicious Clients". In AAAI Conference on Artificial Intelligence (AAAI), 2021.
• Jinyuan Jia, Xiaoyu Cao, and Neil Zhenqiang Gong. "Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks". In AAAI Conference on Artificial Intelligence (AAAI), 2021.
• Binghui Wang, Jinyuan Jia, and Neil Zhenqiang Gong. "Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks". In AAAI Conference on Artificial Intelligence (AAAI), 2021.

2020

2019

• Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, and Neil Zhenqiang Gong. "MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples". In ACM Conference on Computer and Communications Security (CCS), 2019. Acceptance rate: 149/933= 16.0%. Code and data are available [here]
• Binghui Wang and Neil Zhenqiang Gong. "Attacking Graph-based Classification via Manipulating the Graph Structure". In ACM Conference on Computer and Communications Security (CCS), 2019. Acceptance rate: 149/933= 16.0%.
• Dong Yuan, Yuanli Miao, Neil Zhenqiang Gong, Zheng Yang, Qi Li, Dawn Song, Qian Wang, and Xiao Liang. "Detecting Fake Accounts in Online Social Networks at the Time of Registrations". In ACM Conference on Computer and Communications Security (CCS), 2019. Acceptance rate: 149/933= 16.0%. 

• Zenghua Xia, Chang Liu, Neil Zhenqiang Gong, Qi Li, Yong Cui, and Dawn Song. "Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study". In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Applied Data Science Track, 2019. Acceptance rate: ~145/700= 20.7%. 

• Jinyuan Jia and Neil Zhenqiang Gong. "Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge". In IEEE International Conference on Computer Communications (INFOCOM), 2019. Acceptance rate: 288/1464= 19.7%. 

• Binghui Wang, Jinyuan Jia, and Neil Zhenqiang Gong. "Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation". In ISOC Network and Distributed System Security Symposium (NDSS), 2019. Acceptance rate: 89/521= 17.1%. 
  Distinguished Paper Award Honorable Mention
• Binghui Wang, Jinyuan Jia, Le Zhang, and Neil Zhenqiang Gong. "Structure-based Sybil Detection in Social Networks via Local Rule-based Propagation". IEEE Transactions on Network Science and Engineering (TNSE), 6(3), 2019.

2018

• Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, and Jia Liu. "Poisoning Attacks to Graph-Based Recommender Systems". In Annual Computer Security Applications Conference (ACSAC), 2018. Acceptance rate: 60/299= 20.1%.

• Chris Chao-Chun, Chen Shi, Neil Zhenqiang Gong, and Yong Guan. "EviHunter: Identifying Digital Evidence in the Permanent Storage of Android Devices via Static Analysis". In ACM Conference on Computer and Communications Security (CCS), 2018. Acceptance rate: 134/809= 16.6%.

• Jinyuan Jia and Neil Zhenqiang Gong. "AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning". In USENIX Security Symposium, 2018. Acceptance rate: 100/524= 19.1%.
  Code and data are available [here]
  Featured by WIRED, Boing Boing

• Binghui Wang and Neil Zhenqiang Gong. "Stealing Hyperparameters in Machine Learning". In IEEE Symposium on Security and Privacy (IEEE S&P), 2018. Acceptance rate: 63/549= 11.5%.

• Binghui Wang, Le Zhang, and Neil Zhenqiang Gong. "SybilBlind: Detecting Fake Users in Online Social Networks without Manual Labels". In International Symposium on Research in Attacks, Intrusions and Defenses (RAID), 2018. Acceptance rate: 33/145= 22.8%.

• Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, Kurt Thomas, and Prateek Mittal. "SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection." In IEEE Conference on Communications and Network Security (CNS), 2018. Acceptance rate: 51/181 = 28.2%.

• Zhen Xu, Chen Shi, Chris Chao-Chun Cheng, Neil Zhengqiang Gong, and Yong Guan. "A Dynamic Taint Analysis Tool for Android App Forensics. In International Workshop on Systematic Approaches to Digital Forensics Engineering (SADFE), 2018. Best Paper Award

• Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R. Kulkarni, and Prateek Mittal. "SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection (Extended Abstract)." In Workshop on Misinformation and Misbehavior Mining on the Web (MIS2), co-located with WSDM, 2018.

• Neil Zhenqiang Gong and Bin Liu. "Attribute Inference Attacks in Online Social Networks". ACM Transactions on Privacy and Security (TOPS), 21(1), 2018.

2017

• Xiaoyu Cao and Neil Zhenqiang Gong. "Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification". In Annual Computer Security Applications Conference (ACSAC), 2017. Acceptance rate: 48/244=19.7%.

• Binghui Wang, Neil Zhenqiang Gong, and Hao Fu. "GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs". In IEEE International Conference on Data Mining (ICDM), regular paper, 2017. Acceptance rate: 72/778=9.25%.

• Hao Fu, Xing Xie, Yong Rui, Neil Zhenqiang Gong, Guangzhong Sun, and Enhong Chen. "Robust Spammer Detection in Microblogs: Leveraging User Carefulness". ACM Transactions on Intelligent Systems and Technology (TIST), 8(6), 2017.

• Jinyuan Jia, Binghui Wang, and Neil Zhenqiang Gong. "Random Walk based Fake Account Detection in Online Social Networks". In IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2017. Acceptance rate: 49/220=22.3%.

• Neil Zhenqiang Gong, Altay Ozen, Yu Wu, Xiaoyu Cao, Richard Shin, Dawn Song, Hongxia Jin, and Xuan Bao. "PIANO: Proximity-based User Authentication on Voice-Powered Internet-of-Things Devices." In IEEE International Conference on Distributed Computing Systems (ICDCS), short paper, 2017. Acceptance rate: (90 + a small number of short papers)/531=?

• Binghui Wang, Le Zhang, and Neil Zhenqiang Gong. "SybilSCAR: Sybil Detection in Online Social Networks via Local Rule based Propagation". In IEEE International Conference on Computer Communications (INFOCOM), 2017. Acceptance rate: 292/1395=20.9%.
  Fast tracked to IEEE TNSE 
  Only 10 papers were selected for fast tracking 
  Code and data are available [here]

• Jinyuan Jia, Binghui Wang, Le Zhang, and Neil Zhenqiang Gong. "AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields. In International World Wide Web Conference (WWW), 2017. Acceptance rate: 164/966=17.0%.

• Guolei Yang, Neil Zhenqiang Gong, and Ying Cai. "Fake Co-visitation Injection Attacks to Recommender Systems". In ISOC Network and Distributed System Security Symposium (NDSS), 2017. Acceptance rate: 68/423=16.1%.

2016 

• Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, and Martin Ester. "Structural Analysis of User Choices for Mobile App Recommendation". ACM Transactions on Knowledge Discovery from Data (TKDD), 11(2), 2016.

• Neil Zhenqiang Gong and Bin Liu. "You are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors". In USENIX Security Symposium, 2016. Acceptance rate: 72/463=15.6%.

• Shouling Ji, Weiqing Li, Neil Zhenqiang Gong, Prateek Mittal, and Raheem Beyah. "Seed-based De-anonymizability Quantification of Social Networks". IEEE Transactions on Information Forensics and Security (TIFS), 11(7), 2016.

• Neil Zhenqiang Gong, Mathias Payer, Reza Moazzezi, and Mario Frank. "Forgery-Resistant Touch-based Authentication on Mobile Devices". In ACM Asia Conference on Computer and Communications Security (ASIACCS), 2016. Acceptance rate: 73/350=20.9% for full papers.

2015

• Bing Hu, Bin Liu, Neil Zhenqiang Gong, Deguang Kong, and Hongxia Jin. "Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework". In ACM International Conference on Information and Knowledge Management (CIKM), 2015. Acceptance rate: 87/484=18.0% for long papers.

• Bin Liu, Deguang Kong, Lei Cen, Neil Zhenqiang Gong, Hongxia Jin, and Hui Xiong. "Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference. In ACM International Conference on Web Search and Data Mining (WSDM), 2015. Acceptance rate: 40/238=16.8%.

• Shouling Ji, Weiqing Li, Neil Zhenqiang Gong, Prateek Mittal, and Raheem Beyah. "On Your Social Network De-anonymizablity: Quantification and Large Scale Evaluation with Seed Knowledge". In ISOC Network and Distributed System Security Symposium (NDSS), 2015. Acceptance rate: 51/302=16.9%.

• Sakshi Jain, Neil Zhenqiang Gong, Sreya Basuroy, Juan Lang, Dawn Song, and Prateek Mittal. "New Directions in Social Authentication". In Workshop on Usable Security (USEC), co-located with NDSS, 2015

• Mathias Payer, Ling Huang, Neil Zhenqiang Gong, Kevin Borgolte, and Mario Frank. "What You Submit is Who You Are: A Multi-Modal Approach for Deanonymizing Scientific Publications". IEEE Transactions on Information Forensics and Security (TIFS), 10(1), 2015.

2014

• Xuan Bao, Yilin Shen, Neil Zhenqiang Gong, Hongxia Jin, and Bing Hu. "Connect the Dots by Understanding User Status and Transitions". In UbiComp/ISWC Programming Competition, co-located with UbiComp, 2014.

• Neil Zhenqiang Gong and Di Wang. "On the Security of Trustee-based Social Authentications". IEEE Transactions on Information Forensics and Security (TIFS), 9(8), 2014. Featured in VentureBeat.

• Neil Zhenqiang Gong, Mario Frank, and Prateek Mittal. "SybilBelief: A Semi-supervised Learning Approach for Structure-based Sybil Detection". IEEE Transactions on Information Forensics and Security (TIFS), 9(6), 2014.
  Code and data are available [here].

• Neil Zhenqiang Gong and Wenchang Xu. "Reciprocal versus Parasocial Relationships in Online Social Networks". Springer Social Network Analysis and Mining (SNAM), 4(1), 2014.

• Neil Zhenqiang Gong, Ameet Talwalkar, Lester Mackey, Ling Huang, Richard Shin, Emil Stefanov, Elaine Shi, and Dawn Song. "Joint Link Prediction and Attribute Inference using a Social-Attribute Network". ACM Transactions on Intelligent Systems and Technology (TIST), 5(2), 2014.

2012

• Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, and Dawn Song. "Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+". ACM/USENIX Internet Measurement Conference (IMC), 2012. Acceptance rate: 45/183=24.6%.
  Our Google+ dataset is available [here].
• Neil Zhenqiang Gong, Ameet Talwalkar, Lester Mackey, Ling Huang, Richard Shin, Emil Stefanov, Elaine Shi, and Dawn Song. "Jointly Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN)". In ACM Workshop on Social Network Mining and Analysis (SNA-KDD), co-located with KDD, 2012.
• Arvind Narayanan, Hristo Paskov, Neil Zhenqiang Gong, John Bethencourt, Richard Shin, Emil Stefanov, and Dawn Song. "On the Feasibility of Internet-Scale Author Identification". In IEEE Symposium on Security and Privacy (IEEE S&P), 2012. Acceptance rate: 40/307=13.0%.
  Featured in WNYC Studios, Boing Boing, Slashdot, etc.
• Zhenqiang Gong, Nick Matzke, Bard Ermentrout, Dawn Song, Jann E. Vendetti, Montgomery Slatkin, and George Oster. "The evolution of patterns on Conus shells". Proceedings of the National Academy of Sciences (PNAS), 109(5), 2012.
  Featured as a breakthrough by WIRED, ScienceDaily, PhysOrg, etc. 
  Selected as “The Best Scientific Figures in 2012” by WIRED. Only 21 papers out of all scientific publications in 2012 were selected. 

Before 2012 (work done during my undergraduate study)

• Dongqu Chen, Guang-Zhong Sun, and Neil Zhenqiang Gong. "Efficient Approximate Top-k Query Algorithm Using Cube Index". In Asia-Pacific Web Conference (APWeb), 2011.

• Zhenqiang Gong. "Parallel Algorithms for Top-k Query Processing". ACM SIGMOD International Conference on Management of Data (SIGMOD), poster, 2010.

• Zhenqiang Gong, Guangzhong Sun, and Xing Xie. "Protecting Privacy in Location-based Services Using K-anonymity without Cloaked Region". In IEEE International Conference on Mobile Data Management (MDM) Workshops, 2010.

• Zhenqiang Gong, Guangzhong Sun, Jing Yuan, and Yanjing Zhong. "Efficient Top-k Query Algorithms Using K-Skyband Partition". In International ICST Conference on Scalable Information Systems (INFOSCALE), 2009.