Scholars@Duke
Neil Gong

Neil Gong

Associate Professor of Electrical and Computer Engineering
Pierre R. Lamond Department of Electrical and Computer Engineering
neil.gong@duke.edu
Box 90291, Durhamn, NC 27708

Scholarly Works - Conferences

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

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

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