217 citations · 1.8k across the 154 of their papers we have counts for
8 papers · 2 filters
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…
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…
SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection
Peng Gao, Binghui Wang, Neil Zhenqiang Gong +3
Sybil attacks are becoming increasingly widespread and pose a significant threat to online social systems; a single adversary can inject multiple colluding identities in the system…
Structure-based Sybil Detection in Social Networks via Local Rule-based Propagation
Binghui Wang, Jinyuan Jia, Le Zhang +1
Sybil detection in social networks is a basic security research problem. Structure-based methods have been shown to be promising at detecting Sybils. Existing structure-based metho…
Stealing Hyperparameters in Machine Learning
Binghui Wang, Neil Zhenqiang Gong
Hyperparameters are critical in machine learning, as different hyperparameters often result in models with significantly different performance. Hyperparameters may be deemed confid…