Privacy Engineering Project Showcase

Thursday, December 5, 2019
3:30 pm to 5:00 pm

Students from Info 290. Introduction to Privacy Engineering present their final class projects. The course surveys privacy mechanisms applicable to systems engineering, with a particular focus on the inference threat arising due to advancements in artificial intelligence and machine learning.

This semester we have five exciting projects. Each project will get 12 minutes to present their work and then allow 3 minutes for Q&A.


Privacy in Email: Ensuring End-to-End Privacy in One-to-One Email Communications Using Encryption and Preventing Tracking
Mekhola Mukherjee, Rahul Nangia, Roberto Palacios.

Studying Ground Distance Metrics and Earth Mover's Distance For Improvements on t-Closeness
Bryant Le, Aaron Lin, Dhruv Kathuria, Pransu Dash.

Automatic Redaction of Private Data Using Machine Learning
James Carney, Jakob Kohler, Rajvardhan Oak, Priyam Srivastava.

Preserving Utility and Privacy in Organ-Donor Datasets
Alicia Tsai, Morgan Livingston, Amrit Daswaney.

Policy Enforcement Within Relational Databases
Michael Alan Chang (joint work with research group, advised by Scott Shenker), Hantao Wang, Eric Sheng.

Last updated:

November 27, 2019