Gautam Kamath

9 papers at tracked venues · 8 at CORE A* · active 2024–2026

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Venues

ICML ×4 NeurIPS ×2 AAAI ×1 COLT ×1 ICLR ×1

Frequent coauthors

Yiwei Lu

×4

Yaoliang Yu

×3

Jimmy Z. Di

×2

Adam Dziedzic

×1

Franziska Boenisch

×1

Yihan Wang

×1

Xiao-Shan Gao

×1

Martin Pawelczyk

×1

Ayush Sekhari

×1

Seth Neel

×1

Tosca Lechner

×1

Alex Bie

×1

Papers

Demystifying Foreground-Background Memorization in Diffusion Models
AAAI 2026 ·
Jimmy Z. Di
,
Yiwei Lu
,
Yaoliang Yu
, Gautam Kamath,
Adam Dziedzic
,
Franziska Boenisch
BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
NeurIPS 2025 ·
Yihan Wang
,
Yiwei Lu
,
Xiao-Shan Gao
, Gautam Kamath,
Yaoliang Yu
Machine Unlearning Fails to Remove Data Poisoning Attacks
ICLR 2025 ·
Martin Pawelczyk
,
Jimmy Z. Di
,
Yiwei Lu
, Gautam Kamath,
Ayush Sekhari
,
Seth Neel
On the Learnability of Distribution Classes with Adaptive Adversaries
ICML 2025 ·
Tosca Lechner
,
Alex Bie
, Gautam Kamath
Optimal Differentially Private Sampling of Unbounded Gaussians
COLT 2025 ·
Valentio Iverson
, Gautam Kamath,
Argyris Mouzakis
Query-Efficient Locally Private Hypothesis Selection via the Scheffe Graph
NeurIPS 2025 · Gautam Kamath,
Alireza F. Pour
,
Matthew Regehr
,
David P. Woodruff
Differentially Private Post-Processing for Fair Regression
ICML 2024 ·
Ruicheng Xian
,
Qiaobo Li
, Gautam Kamath,
Han Zhao
Disguised Copyright Infringement of Latent Diffusion Models
ICML 2024 ·
Yiwei Lu
,
Matthew Y. R. Yang
,
Zuoqiu Liu
, Gautam Kamath,
Yaoliang Yu
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
ICML 2024 ·
Florian Tramèr
, Gautam Kamath,
Nicholas Carlini