I'm an Associate Professor of Computer Science at Northeastern University.
Updates
I am on sabbatical in Palo Alto for the 2021-22 academic year!
- 05-15-2022 New paper on model updates and membership-inference attacks!
- 05-14-2022 One paper acceped to COLT 2022!
- 04-25-2022 Lydia is receiving the PhD Research Award from Khoury!
- 11-09-2021 New paper on computationally efficient private covariance estimation!
- 10-13-2021 I gave a talk at the CMU theory lunch.
- 09-28-2021 Congratulations to Lydia on her NeurIPS 2021 Spotlight!
- 09-16-2021 I gave a talk on the complexity of differenital privacy at the Simons Institute.
- 07-22-2021 Congratulations to Dr. Vikrant Singhal, defender of the thesis!
- 06-28-2021 New paper with Lydia on private estimation!
- 06-09-2021 I've been promoted to Associate Professor with tenure! Thanks to everyone who helped me get here!
- 05-08-2021 One paper acceped to ICML 2021!
- 04-07-2021 Congratulations to Dr. Albert Cheu, defender of the thesis!
Contact
jullman [at] ccs [dot] neu [dot] edu
623 ISEC805 Columbus Avenue
Khoury College of Computer Sciences
Northeastern University
Boston, MA 02118
Map Directions Bio CV Google Scholar Twitter
Research
My research centers on the foundations of privacy for machine learning and statistics, in particular differential privacy and its surprising interplay with other topics in such as statistical validity, robustness, cryptography, and fairness. My background is in theoretical computer science, but increasingly my work spans algorithms, cryptography, machine learning, statistics, and security.
I am a member of the Theory Group and the Cybersecurity & Privacy Institute.
My research has been generously funded by the National Science Foundation, Apple, and Google.
Advising
I am fortunate to work with a number of talented students and postdocs. My current group consists of:
- Maryam Aliakbarpour (Postdoc)
- Lydia Zakynthinou (PhD Student)
- Konstantina Bairaktari (PhD Student)
- John Abascal (PhD Student)
- Rose Silver (PhD Student)
- Sushant Agarwal (PhD Student)
- Stanley Wu (UG)
Teaching
In Fall 2022 I am teaching CS 7800 / CS 4810: Advanced Algorithms
Courses I've taught in the past include:
- CS3000 Algorithms & Data
- CS7800 Advanced Algorithms
- CS7880 Privacy in Statistics and Machine Learning
I am also the proud recipient of the Ruth and Joel Spira Outstanding Teacher Award.
Service
I also co-organize the Workshop on Theory and Practice of Differential Privacy, and differentialprivacy.org.
I have served on the program committees of many conferences, including: FAccT '22 AAAI '22 CCS '21 (Privacy Track Chair), IEEE S&P '21, CCS '20, ITC '20, FOCS '18, SODA '18, TCC '16, EC '16, TCC '15, STOC '15, and ITCS '15.