I am a first year PhD student at Carnegie Mellon University. I studied my master’s in the algorithms and complexity group at the University of Waterloo where I was fortunate to be advised by Gautam Kamath.
Google Scholar / DBLP / arXiv / Github / Twitter
Robustness Implies Privacy in Statistical
Estimation.
Samuel B. Hopkins, Gautam Kamath, Mahbod
Majid, Shyam Narayanan.
STOC 2023. arxiv
Efficient Mean Estimation with Pure Differential Privacy via
a Sum-of-Squares Exponential Mechanism.
Samuel B.
Hopkins, Gautam Kamath, Mahbod Majid.
STOC 2022. arxiv video
Presented at FORC
2022, non-archival track.
Presented at TPDP 2022.
UC Berkeley, BLISS seminar, November 2022
Fields Institute, workshop Differential Privacy and Statistical Data Analysis, July 2022
Harvard University, symposium Foundations of Responsible Computing, June 2022
University of Toronto, theory seminar, April 2022
Microsoft Research, colloquium, February 2022
University of Waterloo, student seminar, November 2021
mahbodm at andrew.cmu.edu