Tag: Privacy Preserving Data Mining

Detecting Financial Crimes: Current State, Limitations, and A Way Forward

July 8, 2017

Financial Intelligence Units (FIUs) around the world collect data like threshold transaction reports, international fund transfer reports, and suspicious matter/activity reports from Reporting Entities (REs), which include banks, money remitters, casinos, law firms, real-estate companies, and financial companies. They may also get data about entities of interest from partner agencies (PAs) like law-enforcement agencies (LEAs) … More Detecting Financial Crimes: Current State, Limitations, and A Way Forward

Privacy Preserving Outlier Detection: A Tutorial

March 4, 2016

Outlier detection is an important tool in risk modelling. In the context where data are distributed across multiple locations and data privacy is a concern, we need to start looking at privacy-preserving techniques for doing outlier detection. Linked here is a tutorial introduction to this topic I recently prepared. Privacy Preserving Outlier Detection The presentation … More Privacy Preserving Outlier Detection: A Tutorial

Privacy Preserving Support Vector Machines: A Simple Version

February 20, 2016

Suppose we have two entities P1 and P2 and P1 holds a training dataset and P2 holds a dataset . (Assume for simplicity that the x’s all have the same dimension and each y is a real number. We’ll deal with the case when P1 and P2 measure different sets of variables in a different … More Privacy Preserving Support Vector Machines: A Simple Version