Hugh Brendan McMahan

Research Scientist, Google Research, Google

Joined

October 2017

Names

H. Brendan McMahan

Brendan McMahan

Emails

****@gmail.com (Confirmed)

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Research Scientist

Google Research, Google (google.com)

2007 – Present

PhD student

Computer Science, Carnegie Mellon University (cmu.edu)

2001 – 2006

Advisors, Relations & Conflicts

PhD Advisor

Avrim Blum

2001 – 2006

PhD Advisor

Geoffrey J. Gordon

2001 – 2006

Expertise

No areas of expertise listed

Publications

JAX-Privacy: A library for differentially private machine learning
Ryan McKenna, Galen Andrew, Borja Balle, Vadym Doroshenko, Arun Ganesh, Weiwei Kong, Alex Kurakin, Brendan McMahan, Mikhail Pravilov
- CoRR 2026
- Readers: Everyone
How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy
Natalia Ponomareva, Zheng Xu, H. Brendan McMahan, Peter Kairouz, Lucas Rosenblatt, Vincent Cohen-Addad, Cristóbal Guzmán, Ryan McKenna, Galen Andrew, Alex Bie, Da Yu, Alex Kurakin, Morteza Zadimoghaddam, Sergei Vassilvitskii, Andreas Terzis
- CoRR 2025
- Readers: Everyone
On Design Principles for Private Adaptive Optimizers
Arun Ganesh, Brendan McMahan, Abhradeep Thakurta
- CoRR 2025
- Readers: Everyone
Hush! Protecting Secrets During Model Training: An Indistinguishability Approach
Arun Ganesh, Brendan McMahan, Milad Nasr, Thomas Steinke, Abhradeep Thakurta
- CoRR 2025
- Readers: Everyone
Correlated Noise Mechanisms for Differentially Private Learning
Krishna Pillutla, Jalaj Upadhyay, Christopher A. Choquette-Choo, Krishnamurthy Dvijotham, Arun Ganesh, Monika Henzinger, Jonathan Katz, Ryan McKenna, H. Brendan McMahan, Keith Rush, Thomas Steinke, Abhradeep Thakurta
- CoRR 2025
- Readers: Everyone
An Inversion Theorem for Buffered Linear Toeplitz (BLT) Matrices and Applications to Streaming Differential Privacy
H. Brendan McMahan, Krishna Pillutla
- CoRR 2025
- Readers: Everyone
It's My Data Too: Private ML for Datasets with Multi-User Training Examples
Arun Ganesh, Ryan McKenna, Brendan McMahan, Adam Smith, Fan Wu
- CoRR 2025
- Readers: Everyone
It's My Data Too: Private ML for Datasets with Multi-User Training Examples
Arun Ganesh, Ryan McKenna, Hugh Brendan McMahan, Adam Smith, Fan Wu
- ICML 2025 poster
- Readers: Everyone
Learning with User-Level Differential Privacy Under Fixed Compute Budgets
Zachary Charles, Arun Ganesh, Ryan McKenna, H. Brendan McMahan, Nicole Mitchell, Krishna Pillutla, Keith Rush
- SaTML 2025
- Readers: Everyone
It's My Data Too: Private ML for Datasets with Multi-User Training Examples
Arun Ganesh, Ryan McKenna, Hugh Brendan McMahan, Adam Smith, Fan Wu
- ICML 2025
- Readers: Everyone

View all 133 publications

Co-Authors

View all 282 co-authors