Khoury College of Computer Sciences
Northeastern University
Email: jullman@ccs.neu.edu
About Me
My research centers on the foundations of privacy for machine learning and statistics, in particular differential privacy and its surprising interplay with other topics such as statistical validity, robustness, cryptography, and fairness. My background is in theoretical computer science, but increasingly my work spans machine learning, statistics, cryptography, and cybersecurity. My research and teaching have been recognized with an NSF CAREER award and the Ruth and Joel Spira Outstanding Teaching Award.
At Northeastern, I am a member of the Theory Group, the Cryptography and Privacy Group and the Cybersecurity & Privacy Institute. I am also a member of the Boston-Area Data Privacy Group
Current Events
- 06-05-2023 New paper on membership-inference attacks.
- 05-24-2023 New paper on differentially private medians.
- 05-14-2023 Congratulations to Konstantina on her COLT paper!
- 05-11-2023 Excited for Charles River Privacy Day!
- 04-24-2023 Huge congratulations to Maryam on her faculty position at Rice University!
- 04-24-2023 Congratulations to Lydia on her ICML paper!
- 02-06-2023 New paper on the connection between differential privacy and robust statistics.
- 02-01-2023 New paper on bias and variance in statistical estimation.
- 10-31-2022 New paper on instance-optimal private estimation.
Students
I'm fortunate to work with an amazing group of students and postdocs. Currently I work with:
- Lydia Zakynthinou (PhD Student)
- Konstantina Bairaktari (PhD Student)
- John Abascal (PhD Student)
- Rose Silver (PhD Student)
- Sushant Agarwal (PhD Student)