differential privacy Archives

CCICADA Homeland Security News, October 2016

CCICADA and its partners are exploring new frontiers in advanced data analysis to shorten airport-security lines, prevent child sex trafficking, combat Zika, protect our online privacy, and find cyber identity solutions. [Read more...]

October 4, 2016

CCICADA Researchers Probe How to Protect Privacy Rights While Mining and Analyzing Big Data

Rutgers researchers are investigating how to protect the privacy of individuals when searching for anomalies in big sets of digital data for security or other reasons. [Read more...]

September 30, 2016

Three techniques used to analyze big data are group testing, active learning and community detection.

Rutgers Team Is Applying their ‘Differentially Private Anomaly Detection’ Research to Three Data-Analysis Techniques

Rutgers researchers are applying their research into Differentially Private Anomaly Detection to the data-analysis techniques of group testing, active learning and community detection. [Read more...]

September 30, 2016