4 citations · 5 across the 4 of their papers we have counts for
4 papers
Sensitivity estimation for differentially private query processing
Meifan Zhang, Xin Liu, Lihua Yin
Differential privacy has become a popular privacy-preserving method in data analysis, query processing, and machine learning, which adds noise to the query result to avoid leaking…
Catching Loosely Synchronized Behavior in Face of Camouflage
Yikun Ban, Jiao Sun, Xin Liu
Fraud has severely detrimental impacts on the business of social networks and other online applications. A user can become a fake celebrity by purchasing "zombie followers" on Twit…
No Place to Hide: Catching Fraudulent Entities in Tensors
Yikun Ban, Xin Liu, Yitao Duan +2
Many approaches focus on detecting dense blocks in the tensor of multimodal data to prevent fraudulent entities (e.g., accounts, links) from retweet boosting, hashtag hijacking, li…
BadLink: Combining Graph and Information-Theoretical Features for Online Fraud Group Detection
Yikun Ban, Xin Liu, Tianyi Zhang +4
Frauds severely hurt many kinds of Internet businesses. Group-based fraud detection is a popular methodology to catch fraudsters who unavoidably exhibit synchronized behaviors. We…