Joseph is an assistant professor of computer science at the University of Vermont. His research interests include data privacy, computer security, and programming languages. Joseph received his BS in computer science from Indiana University, and his MS and PhD in computer science from MIT.
Towards Practical Differentially Private Convex Optimization. Roger Iyengar, Joseph P. Near, Dawn Song, Om Thakkar, Abhradeep Thakurta, Lun Wang. In Proceedings of the 40th IEEE Symposium on Security and Privacy, 2019.
Towards practical differential privacy for SQL queries. Noah Johnson, Joseph P. Near, and Dawn Song. In Proceedings of the 34th International Conference on Very Large Data Bases, 2018.
Rubicon: bounded verification of web applications. Joseph P. Near and Daniel Jackson. In Proceedings of the 20th International Symposium on the Foundations of Software Engineering (FSE), 2012.
Areas of Expertise and/or Research
Data privacy, computer security, and programming languages
- B.S., Indiana University
- M.S., MIT
- Ph.D., MIT
Innovation Hall E458
- CS295: Data Privacy
- CS202: Compiler Construction