Neil Zhenqiang Gong

发表

What You Submit Is Who You Are: A Multimodal Approach for Deanonymizing Scientific Publications

Ling Huang, Mathias Payer, Mario Frank, 2015, IEEE Transactions on Information Forensics and Security.

Personalized Mobile App Recommendation: Reconciling App Functionality and User Privacy Preference

Lei Cen, Hongxia Jin, Deguang Kong, 2015, WSDM.

Influence Function based Data Poisoning Attacks to Top-N Recommender Systems

Jia Liu, Minghong Fang, Neil Zhenqiang Gong, 2020, WWW.

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

Michael Backes, Yang Zhang, Jinyuan Jia, 2019, CCS.

On the Intrinsic Differential Privacy of Bagging pdf

Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong, 2020, IJCAI.

Data Poisoning Attacks to Local Differential Privacy Protocols pdf

Xiaoyu Cao, Neil Zhenqiang Gong, Jinyuan Jia, 2019, USENIX Security Symposium.

Efficient Top-k Query Algorithms Using K-Skyband Partition

Jing Yuan, Guangzhong Sun, Neil Zhenqiang Gong, 2009, Infoscale.

Towards Forgery-Resistant Touch-based Biometric Authentication on Mobile Devices pdf

Mathias Payer, Mario Frank, Neil Zhenqiang Gong, 2015, ArXiv.

EviHunter: Identifying Digital Evidence in the Permanent Storage of Android Devices via Static Analysis

Yong Guan, Neil Zhenqiang Gong, Chen Shi, 2018, CCS.

Structure-Based Sybil Detection in Social Networks via Local Rule-Based Propagation

Le Zhang, Jinyuan Jia, Binghui Wang, 2018, IEEE Transactions on Network Science and Engineering.

GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs

Binghui Wang, Hao Fu, Neil Zhenqiang Gong, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

On the Security of Trustee-Based Social Authentications

Di Wang, Neil Zhenqiang Gong, N. Gong, 2014, IEEE Transactions on Information Forensics and Security.

Reciprocal versus parasocial relationships in online social networks

Neil Zhenqiang Gong, Wenchang Xu, N. Gong, 2013, Social Network Analysis and Mining.

Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks

Xiaoyu Cao, Neil Zhenqiang Gong, Jinyuan Jia, 2020, AAAI.

Practical Blind Membership Inference Attack via Differential Comparisons pdf

Yinzhi Cao, Yuchen Yang, Neil Zhenqiang Gong, 2021, ArXiv.

Detecting Fake Accounts in Online Social Networks at the Time of Registrations

Xiao Liang, Dong Yuan, Dawn Song, 2019, CCS.

A Dynamic Taint Analysis Tool for Android App Forensics

Zhen Xu, Yong Guan, Neil Zhenqiang Gong, 2018, 2018 IEEE Security and Privacy Workshops (SPW).

Reciprocity in Social Networks: Measurements, Predictions, and Implications pdf

Dawn Xiaodong Song, Neil Zhenqiang Gong, Wenchang Xu, 2013, ArXiv.

On Your Social Network De-anonymizablity: Quantification and Large Scale Evaluation with Seed Knowledge

Prateek Mittal, Shouling Ji, Raheem A. Beyah, 2015, NDSS.

Stealing Links from Graph Neural Networks pdf

Michael Backes, Xinlei He, Neil Zhenqiang Gong, 2020, USENIX Security Symposium.

IPGuard: Protecting the Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary pdf

Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong, 2019, ArXiv.

Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations pdf

Binghui Wang, Xiaoyu Cao, Hongbin Liu, 2020, ArXiv.

Attribute Inference Attacks in Online Social Networks

Bin Liu, Neil Zhenqiang Gong, Bin Liu, 2018, TOPS.

State Estimation via Inference on a Probabilistic Graphical Model - A Different Perspective

Daji Qiao, Binghui Wang, Neil Zhenqiang Gong, 2020, 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

PIANO: Proximity-Based User Authentication on Voice-Powered Internet-of-Things Devices

Hongxia Jin, Dawn Xiaodong Song, Yu Wu, 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).

FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping pdf

Minghong Fang, Xiaoyu Cao, Neil Zhenqiang Gong, 2020, ArXiv.

SYBILFUSE: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection

Peng Gao, Sanjeev R. Kulkarni, Prateek Mittal, 2018, 2018 IEEE Conference on Communications and Network Security (CNS).

You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors pdf

Bin Liu, Neil Zhenqiang Gong, N. Gong, 2016, USENIX Security Symposium.

Efficient Top-K Query Algorithms Using Density Index

Neil Zhenqiang Gong, Xiaoqiang Zhong, Dongqu Chen, 2011, ICAIC.

Poisoning Attacks to Graph-Based Recommender Systems

Jia Liu, Minghong Fang, Neil Zhenqiang Gong, 2018, ACSAC.

Connect the dots by understanding user status and transitions

Hongxia Jin, Yilin Shen, Neil Zhenqiang Gong, 2014, UbiComp Adjunct.

Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification

Xiaoyu Cao, Neil Zhenqiang Gong, Xiaoyu Cao, 2017, ACSAC.

Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN) pdf

Ling Huang, Elaine Shi, Ameet Talwalkar, 2011, ArXiv.

Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation pdf

Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong, 2018, NDSS.

Local Model Poisoning Attacks to Byzantine-Robust Federated Learning

Minghong Fang, Xiaoyu Cao, Neil Zhenqiang Gong, 2019, USENIX Security Symposium.

SybilBelief: A Semi-Supervised Learning Approach for Structure-Based Sybil Detection

Prateek Mittal, Mario Frank, Neil Zhenqiang Gong, 2013, IEEE Transactions on Information Forensics and Security.

Stealing Hyperparameters in Machine Learning

Binghui Wang, Neil Zhenqiang Gong, N. Gong, 2018, 2018 IEEE Symposium on Security and Privacy (SP).

SybilSCAR: Sybil detection in online social networks via local rule based propagation

Le Zhang, Binghui Wang, Neil Zhenqiang Gong, 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

SybilBlind: Detecting Fake Users in Online Social Networks without Manual Labels

Le Zhang, Binghui Wang, Neil Zhenqiang Gong, 2018, RAID.

Efficient Approximate Top-k Query Algorithm Using Cube Index

Neil Zhenqiang Gong, Dongqu Chen, Guang-Zhong Sun, 2011, APWeb.

Android™ App Forensic Evidence Database

Neil Zhenqiang Gong, Yong Guan, Chen Shi, 2019 .

AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields

Le Zhang, Jinyuan Jia, Binghui Wang, 2017, WWW.

Structural Analysis of User Choices for Mobile App Recommendation

Hui Xiong, Junjie Wu, Martin Ester, 2016, ACM Trans. Knowl. Discov. Data.

Certified Robustness of Nearest Neighbors against Data Poisoning Attacks pdf

Xiaoyu Cao, Neil Zhenqiang Gong, Jinyuan Jia, 2020, ArXiv.

Random Walk Based Fake Account Detection in Online Social Networks

Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong, 2017, 2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).

Protecting Privacy in Location-Based Services Using K-Anonymity without Cloaked Region

Xing Xie, Guangzhong Sun, Neil Zhenqiang Gong, 2010, 2010 Eleventh International Conference on Mobile Data Management.

On Certifying Robustness against Backdoor Attacks via Randomized Smoothing pdf

Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong, 2020, ArXiv.

Attacking Graph-based Classification via Manipulating the Graph Structure

Binghui Wang, Neil Zhenqiang Gong, N. Gong, 2019, CCS.

New Directions in Social Authentication

Dawn Song, Prateek Mittal, Sakshi Jain, 2015 .

Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge

Jinyuan Jia, Neil Zhenqiang Gong, N. Gong, 2018, IEEE INFOCOM 2019 - IEEE Conference on Computer Communications.

Data Poisoning Attacks to Deep Learning Based Recommender Systems pdf

Qi Li, Mingwei Xu, Neil Zhenqiang Gong, 2021, NDSS.

Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing pdf

Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong, 2019, ICLR.

Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks pdf

Binghui Wang, Neil Zhenqiang Gong, Jinyuan Jia, 2020, AAAI.

Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study

Dawn Song, Yong Cui, Neil Zhenqiang Gong, 2019, KDD.

Seed-Based De-Anonymizability Quantification of Social Networks

Prateek Mittal, Shouling Ji, Raheem A. Beyah, 2016, IEEE Transactions on Information Forensics and Security.

SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection pdf

Peng Gao, Sanjeev R. Kulkarni, Prateek Mittal, 2015, ArXiv.

Evolution of social-attribute networks: measurements, modeling, and implications using google+

Ling Huang, Dawn Xiaodong Song, Vyas Sekar, 2012, Internet Measurement Conference.

Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges

Jinyuan Jia, Neil Zhenqiang Gong, N. Gong, 2019, Adaptive Autonomous Secure Cyber Systems.

Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework

Hongxia Jin, Bin Liu, Deguang Kong, 2015, CIKM.

Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation pdf

Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong, 2020, ArXiv.

Fake Co-visitation Injection Attacks to Recommender Systems

Ying Cai, Neil Zhenqiang Gong, Guolei Yang, 2017, NDSS.

Backdoor Attacks to Graph Neural Networks pdf

Binghui Wang, Neil Zhenqiang Gong, Jinyuan Jia, 2020, ArXiv.

AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning pdf

Jinyuan Jia, Neil Zhenqiang Gong, N. Gong, 2018, USENIX Security Symposium.

Forgery-Resistant Touch-based Authentication on Mobile Devices

Mathias Payer, Mario Frank, Neil Zhenqiang Gong, 2016, AsiaCCS.

Robust Spammer Detection in Microblogs: Leveraging User Carefulness

Xing Xie, Enhong Chen, Guangzhong Sun, 2017, TIST.

Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes pdf

Binghui Wang, Neil Zhenqiang Gong, Jinyuan Jia, 2020, AsiaCCS.

Joint Link Prediction and Attribute Inference Using a Social-Attribute Network

Ling Huang, Elaine Shi, Ameet Talwalkar, 2014, TIST.

On the Feasibility of Internet-Scale Author Identification

Dawn Xiaodong Song, Arvind Narayanan, Emil Stefanov, 2012, 2012 IEEE Symposium on Security and Privacy.

Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing

Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong, 2020, WWW.

FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping pdf

Minghong Fang, Xiaoyu Cao, Neil Zhenqiang Gong, 2021, NDSS.

Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data pdf

Neil Zhenqiang Gong, Jinyuan Jia, Yongji Wu, 2021, USENIX Security Symposium.

EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning

Neil Zhenqiang Gong, Jinyuan Jia, Hongbin Liu, 2021, CCS.

HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance pdf

Neil Zhenqiang Gong, Xiaoxuan Yang, Yiran Chen, 2021, ArXiv.

Provably Secure Federated Learning against Malicious Clients

Xiaoyu Cao, Neil Zhenqiang Gong, Jinyuan Jia, 2021, AAAI.

BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning pdf

Neil Zhenqiang Gong, Jinyuan Jia, Yupei Liu, 2021, 2022 IEEE Symposium on Security and Privacy (SP).

Understanding the Security of Deepfake Detection pdf

Neil Zhenqiang Gong, Xiaoyu Cao, 2021, ArXiv.

Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention pdf

Hongxia Yang, Jingren Zhou, Neil Zhenqiang Gong, 2021, ArXiv.

IPGuard: Protecting the Intellectual Property of Deep Neural Networks via Fingerprinting the Classification Boundary

Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong, 2019, ArXiv.

Data Poisoning Attacks and Defenses to Crowdsourcing Systems

Minghong Fang, Neil Zhenqiang Gong, Qi Li, 2021, WWW.

PointGuard: Provably Robust 3D Point Cloud Classification

Neil Zhenqiang Gong, Jinyuan Jia, Hongbin Liu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach

Neil Zhenqiang Gong, Shaofeng Hu, Xiao Liang, 2021, KDD.

StolenEncoder: Stealing Pre-trained Encoders pdf

Neil Zhenqiang Gong, Jinyuan Jia, Hongbin Liu, 2022, ArXiv.

10 Security and Privacy Problems in Self-Supervised Learning pdf

Neil Zhenqiang Gong, Jinyuan Jia, Hongbin Liu, 2021, ArXiv.

On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks

Neil Zhenqiang Gong, Xiao Liang, Binghui Wang, 2021, ACSAC.

Certified Robustness of Graph Neural Networks against Adversarial Structural Perturbation

Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong, 2021, KDD.

Backdoor Attacks to Graph Neural Networks

Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong, 2020, SACMAT.

LogExtractor: Extracting digital evidence from android log messages via string and taint analysis

Neil Zhenqiang Gong, Chen Shi, Chris Chao-Chun Cheng, 2021, Digit. Investig..

FaceGuard: Proactive Deepfake Detection pdf

Neil Zhenqiang Gong, Hongyu He, Xiaoyu Cao, 2021, ArXiv.

Influence Function based Data Poisoning Attacks to Top-N Recommender Systems

Jia Liu, Minghong Fang, Neil Zhenqiang Gong, 2020, WWW.