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Neil Gong

Assistant Professor of Electrical and Computer Engineering
Electrical and Computer Engineering
Box 90291, Durhamn, NC 27708

Selected Publications


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

Conference IEEE International Conference on Computer Communications (INFOCOM) · 2019 Estimating frequencies of certain items among a population is a basic step in data analytics, which enables more advanced data analytics (e.g., heavy hitter identification, frequent pattern mining), client software optimization, and detecting unwanted or m ... Cite

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

Conference ISOC Network and Distributed System Security Symposium (NDSS) · 2019 Cite

Attribute Inference Attacks in Online Social Networks

Journal Article ACM Transactions on Privacy and Security · February 28, 2018 We propose new privacy attacks to infer attributes (e.g., locations, occupations, and interests) of online social network users. Our attacks leverage seemingly innocent user information that is publicly available in online social netwo ... Full text Cite

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

Conference USENIX Security Symposium · 2018 Users in various web and mobile applications are vulnerable to attribute inference attacks, in which an attacker leverages a machine learning classifier to infer a target user’s private attributes (e.g., location, sexual orientation, political view) from i ... Cite

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

Conference Proceedings of the 26th International Conference on World Wide Web · 2017 Cite

Fake Co-visitation Injection Attacks to Recommender Systems

Conference ISOC Network and Distributed System Security Symposium (NDSS) · 2017 Cite

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

Conference ISOC Network and Distributed System Security Symposium (NDSS) · 2015 Cite

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

Journal Article ACM Transactions on Intelligent Systems and Technology · April 2014 The effects of social influence and homophily suggest that both network structure and node-attribute information should inform the tasks of link prediction and node-attribute inference. Recently, Yin et al. [2010a, 2010b] proposed an a ... Full text Cite

Evolution of patterns on Conus shells

Journal Article Proceedings of the National Academy of Sciences · January 31, 2012 The pigmentation patterns of shells in the genus Conus can be generated by a neural-network model of the mantle. We fit model parameters to the shell pigmentation patterns of 19 living ... Full text Cite

Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+

Conference ACM/USENIX Internet Measurement Conference (IMC) · 2012 Understanding social network structure and evolution has important implications for many aspects of network and system design including provisioning, bootstrapping trust and reputation systems via social networks, and defenses against Sybil attacks. Severa ... Cite

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

Conference IEEE International Conference on Computer Communications (INFOCOM) · 2019 Estimating frequencies of certain items among a population is a basic step in data analytics, which enables more advanced data analytics (e.g., heavy hitter identification, frequent pattern mining), client software optimization, and detecting unwanted or m ... Cite

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

Conference ISOC Network and Distributed System Security Symposium (NDSS) · 2019 Cite

Attribute Inference Attacks in Online Social Networks

Journal Article ACM Transactions on Privacy and Security · February 28, 2018 We propose new privacy attacks to infer attributes (e.g., locations, occupations, and interests) of online social network users. Our attacks leverage seemingly innocent user information that is publicly available in online social netwo ... Full text Cite

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

Conference USENIX Security Symposium · 2018 Users in various web and mobile applications are vulnerable to attribute inference attacks, in which an attacker leverages a machine learning classifier to infer a target user’s private attributes (e.g., location, sexual orientation, political view) from i ... Cite

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

Conference Proceedings of the 26th International Conference on World Wide Web · 2017 Cite

Fake Co-visitation Injection Attacks to Recommender Systems

Conference ISOC Network and Distributed System Security Symposium (NDSS) · 2017 Cite

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

Conference ISOC Network and Distributed System Security Symposium (NDSS) · 2015 Cite

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

Journal Article ACM Transactions on Intelligent Systems and Technology · April 2014 The effects of social influence and homophily suggest that both network structure and node-attribute information should inform the tasks of link prediction and node-attribute inference. Recently, Yin et al. [2010a, 2010b] proposed an a ... Full text Cite

Evolution of patterns on Conus shells

Journal Article Proceedings of the National Academy of Sciences · January 31, 2012 The pigmentation patterns of shells in the genus Conus can be generated by a neural-network model of the mantle. We fit model parameters to the shell pigmentation patterns of 19 living ... Full text Cite

Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+

Conference ACM/USENIX Internet Measurement Conference (IMC) · 2012 Understanding social network structure and evolution has important implications for many aspects of network and system design including provisioning, bootstrapping trust and reputation systems via social networks, and defenses against Sybil attacks. Severa ... Cite