Differentially Private Anomaly Detection
Anand Sarwate received an award from the Department of Homeland Security (DHS) as as supplement to the CCICADA center with Rebecca Wright and Anand as PIs. The main award is
2009-ST-061-CCI002-07: Center of Excellence for Command, Control, and Interoperability
The project is:
Differentially Private Anomaly Detection July 1, 2015 — June 30, 2016
The goal is to develop algorithms for screening and anomaly detection in private data using a combination of techniques from group testing, active learning, and sequential hypothesis testing. The objective is to evaluate how well and in what contexts differentially private algorithms can reliably detect anomalies while preserving the privacy non-anomalous data/individuals.