2017 Symposium Posters

Posters > 2017

How Much High Level Utility in Anonymized Social Networks?


Primary Investigator:
Feng Li

Project Members
Tianchong Gao; Feng Li
The traditional differential privacy anonymization techniques are proved to maintain some utility metrics. However, the performance of the anonymized graph is doubtful in read application. A new high level utility, persistent homology, is presented to evaluate these techniques. And the project hopes to give insights of designing new anonymization techniques.

Our annual information security symposium will take place on April 3rd and 4th, 2018.
Purdue University, West Lafayette, IN