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Gautam Kamath
Assistant Professor, Computer Science, Courant Institute of Mathematical Sciences, New York University
Assistant Professor, Cheriton School of Computer Science, University of Waterloo
Joined
January 2019
Names
Gautam Kamath
(Preferred)
,
Gautam C. Kamath
Emails
****@csail.mit.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@mit.edu
(Confirmed)
,
****@uwaterloo.ca
(Confirmed)
,
****@nyu.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Assistant Professor
Computer Science, Courant Institute of Mathematical Sciences,
New York University
(nyu.edu)
2026
–
Present
Assistant Professor
Cheriton School of Computer Science,
University of Waterloo
(uwaterloo.ca)
2019
–
Present
Postdoc
Simons Institute for the Theory of Computing,
University of California Berkeley
(berkeley.edu)
2018
–
2019
PhD student
Electrical Engineering and Computer Science,
Massachusetts Institute of Technology
(mit.edu)
2012
–
2018
Undergrad student
Computer Science,
Cornell University
(cornell.edu)
2008
–
2012
Advisors, Relations & Conflicts
PhD Advisor
Constantinos Daskalakis
2012
–
2018
Expertise
Robustness
Present
Data Privacy
Present
Publications
\textsc{ContinuousBench}: Can Differentially Private Synthetic Text Improve Capabilities?
Peihan Liu
,
Lucas Rosenblatt
,
Weiwei Kong
,
Natalia Ponomareva
,
Gautam Kamath
,
Rachel Cummings
,
Roxana Geambasu
,
Yu Gan
,
Lillian Tsai
,
Alex Bie
ICML MemFM 2026 Workshop Poster
Readers:
Everyone
Not All Samples Are Equal: Quantifying Instance-level Difficulty in Targeted Data Poisoning
William Xu
,
Yiwei Lu
,
Yihan Wang
,
Matthew Y. R. Yang
,
Zuoqiu Liu
,
Gautam Kamath
,
Yaoliang Yu
Submitted to ICLR 2026
Readers:
Everyone
Not All Samples Are Equal: Quantifying Instance-level Difficulty in Targeted Data Poisoning
William Xu
,
Yiwei Lu
,
Yihan Wang
,
Matthew Y. R. Yang
,
Zuoqiu Liu
,
Gautam Kamath
,
Yaoliang Yu
NeurIPS 2025 - Reliable ML Workshop
Readers:
Everyone
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
Yihan Wang
,
Yiwei Lu
,
Xiao-Shan Gao
,
Gautam Kamath
,
Yaoliang Yu
NeurIPS 2025 - Reliable ML Workshop
Readers:
Everyone
Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph
Gautam Kamath
,
Alireza F. Pour
,
Matthew Regehr
,
David Woodruff
NeurIPS 2025 poster
Readers:
Everyone
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
Yihan Wang
,
Yiwei Lu
,
Xiao-Shan Gao
,
Gautam Kamath
,
Yaoliang Yu
NeurIPS 2025 poster
Readers:
Everyone
On the Learnability of Distribution Classes with Adaptive Adversaries
Tosca Lechner
,
Alex Bie
,
Gautam Kamath
ICML 2025 poster
Readers:
Everyone
Machine Unlearning Fails to Remove Data Poisoning Attacks
Martin Pawelczyk
,
Jimmy Z. Di
,
Yiwei Lu
,
Gautam Kamath
,
Ayush Sekhari
,
Seth Neel
ICLR 2025 Poster
Readers:
Everyone
Avoiding Pitfalls for Privacy Accounting of Subsampled Mechanisms under Composition
Christian Janos Lebeda
,
Matthew Regehr
,
Gautam Kamath
,
Thomas Steinke
Submitted to NeurIPS 2024
Readers:
Everyone
Disguised Copyright Infringement of Latent Diffusion Models
Yiwei Lu
,
Matthew Y. R. Yang
,
Zuoqiu Liu
,
Gautam Kamath
,
Yaoliang Yu
ICML 2024 Poster
Readers:
Everyone
View all 147 publications
Co-Authors
Adam D. Smith
Adam Kalai
Adam Tauman Kalai
Aleksandar Nikolov
Alex Bie
Alireza F. Pour
Alistair Stewart
Amit Levi
Ananda Theertha Suresh
Andre Manoel
Anindya De
Ankur Moitra
Argyris Mouzakis
Arturs Backurs
Audra McMillan
Ayush Jain
Ayush Sekhari
Bryan Cai
Christian Covington
Christian Janos Lebeda
Christina Brandt
Christos Tzamos
Clement Louis Canonne
Constantinos Daskalakis
Da Yu
View all 112 co-authors