217 citations · 1.8k across the 154 of their papers we have counts for
9 papers · 1 filter
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge
Jinyuan Jia, Neil Zhenqiang Gong
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, frequen…
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation
Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
Many security and privacy problems can be modeled as a graph classification problem, where nodes in the graph are classified by collective classification simultaneously. State-of-t…
Poisoning Attacks to Graph-Based Recommender Systems
Minghong Fang, Guolei Yang, Neil Zhenqiang Gong +1
Recommender system is an important component of many web services to help users locate items that match their interests. Several studies showed that recommender systems are vulnera…
EviHunter: Identifying Digital Evidence in the Permanent Storage of Android Devices via Static Analysis
Chris Chao-Chun Cheng, Chen Shi, Neil Zhenqiang Gong +1
Crimes, both physical and cyber, increasingly involve smartphones due to their ubiquity. Therefore, digital evidence on smartphones plays an increasingly important role in crime in…
SybilBlind: Detecting Fake Users in Online Social Networks without Manual Labels
Binghui Wang, Le Zhang, Neil Zhenqiang Gong
Detecting fake users (also called Sybils) in online social networks is a basic security research problem. State-of-the-art approaches rely on a large amount of manually labeled use…
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning
Jinyuan Jia, Neil Zhenqiang Gong
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 pr…