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Mónica Ribero
Researcher, Google
Joined
May 2020
Names
Mónica Ribero
(Preferred)
,
Monica Ribero Diaz
Emails
****@utexas.edu
(Confirmed)
,
****@google.com
(Confirmed)
,
****@gmail.com
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Career & Education History
Researcher
Google
(google.com)
2022
–
Present
PhD student
University of Texas, Austin
(utexas.edu)
2017
–
2022
Intern
Google
(google.com)
2020
–
2021
Intern
CognitiveScale
(cognitivescale.com)
2019
–
2019
Undergrad student
Universidad de Los Andes
(uniandes.edu.co)
2011
–
2015
Advisors, Relations & Conflicts
Coauthor
Matthew Joseph
2021
–
Present
Coauthor
Andrés Muñoz Medina
2021
–
Present
Coauthor
Jenny Gillenwater
2021
–
Present
Coauthor
Jette Henderson
2018
–
2022
Coauthor
Sinead Williamson
2018
–
2022
PhD Advisor
Haris Vikalo
2017
–
2022
Coauthor
Peter Kairouz
2020
–
2021
Coauthor
Abhradeep Thakurta
2020
–
2021
Coauthor
Keith Rush
2020
–
2021
Coauthor
Gustavo Deveciana
2020
–
2021
PhD Advisor
Robert Heath
2017
–
2019
Expertise
Differential privacy
2019
–
Present
Federated Learning
,
Communication
2018
–
2022
Federated Learning
,
Privacy
2018
–
2022
Publications
3rd Workshop on Navigating and Addressing Data Problems For Foundation Models (DATA-FM)
Zheng Xu
,
Ruoxi Jia
,
Martin Jaggi
,
Mónica Ribero
,
Pratyush Maini
,
Jiachen T. Wang
,
Luxi He
,
Yuzheng Hu
ICLR 2026 Workshop Proposals
Readers:
Everyone
Regularized $f-$Divergence Kernel Tests
Mónica Ribero
,
Antonin Schrab
,
Arthur Gretton
AISTATS 2026 Poster
Readers:
Everyone
Efficient Gradient Clipping Methods in DP-SGD for Convolution Models
Weiwei Kong
,
Mónica Ribero
,
Grigoris Velegkas
Submitted to ICLR 2026
Readers:
Everyone
Sequentially Auditing Differential Privacy
Tomás González
,
Mateo Dulce Rubio
,
Aaditya Ramdas
,
Mónica Ribero
NeurIPS 2025 poster
Readers:
Everyone
Differentially private optimization for non-decomposable objective functions
Weiwei Kong
,
Andres Munoz medina
,
Mónica Ribero
ICLR 2025 Poster
Readers:
Everyone
Privately Counting Partially Ordered Data
Matthew Joseph
,
Mónica Ribero
,
Alexander Yu
ICLR 2025 Poster
Readers:
Everyone
Efficient Gradient Clipping Methods in DP-SGD for Convolution Models
Weiwei Kong
,
Mónica Ribero
,
Grigoris Velegkas
Submitted to ICLR 2025
Readers:
Everyone
Privacy of the last iterate in cyclically-sampled DP-SGD on nonconvex composite losses
Weiwei Kong
,
Mónica Ribero
CoRR 2024
Readers:
Everyone
DP-Auditorium: A Large-Scale Library for Auditing Differential Privacy
William Kong
,
Andrés Muñoz Medina
,
Mónica Ribero
,
Umar Syed
SP 2024
Readers:
Everyone
RényiTester: A Variational Approach to Testing Differential Privacy
Weiwei Kong
,
Andres Munoz medina
,
Mónica Ribero
RegML 2023
Readers:
Everyone
View all 25 publications
Co-Authors
Aaditya Ramdas
Abhradeep Thakurta
Aldebaro Klautau
Alexander Yu
Andres Munoz medina
Andres Muñoz Medina
Anthony C. K. Soong
Antonin Schrab
Arthur Gretton
Dmitry Chizhik
Grigoris Velegkas
Haris Vikalo
Jennifer Gillenwater
Jette Henderson
Jiachen T. Wang
Kareem Amin
Keith Rush
Luxi He
Martin Jaggi
Mateo Dulce Rubio
Matthew Joseph
Murali Narasimha
Peter Kairouz
Pratyush Maini
Reinaldo A. Valenzuela
View all 36 co-authors