Andres Munoz Medina

Research Areas

Authored Publications
0 results

Sort By
  • Title
  • Title, descending
  • Year
  • Year, descending
    Google
DP-Auditorium: A large-scale library for auditing differential privacy
William Kong
Andres Munoz Medina
Monica Ribero
Umar Syed
2024
Differentially Private Streaming Continual Releases of Frequency Moment Estimation
Alessandro Epasto
Jieming Mao
Andres Munoz Medina
Vahab Mirrokni
Sergei Vassilvitskii
Peilin Zhong
ITCS (2023)
Easy Learning from Label Proportions
Andres Munoz Medina
Claudio Gentile
Robert Busa-Fekete
Travis Dick
Heejin Choi
Neurips (2023)
Measuring Re-identification Risk
CJ Carey
Travis Dick
Alessandro Epasto
Adel Javanmard
Josh Karlin
Shankar Kumar
Andres Munoz Medina
Vahab Mirrokni
Gabriel Henrique Nunes
Sergei Vassilvitskii
Peilin Zhong
SIGMOD (2023)
Label differential privacy and private training data release
Robert Busa-Fekete
Andres Munoz Medina
Umar Syed
Sergei Vassilvitskii
2023
A Joint Exponential Mechanism for Differentially Private Top-k
Jenny Gillenwater
Matthew Joseph
Andres Munoz Medina
Monica Ribero Diaz
International Conference on Machine Learning (ICML) 2022
Private and communication-efficient algorithms for entropy estimation
Gecia Bravo-Hermsdorff
Robert Busa-Fekete
Mohammad Ghavamzadeh
Andres Munoz Medina
Umar Syed
2022
Scalable Differentially Private Clustering via Hierarchically Separated Trees
Alessandro Epasto
Andres Munoz Medina
Chris Schwiegelshohn
David Saulpic
Sergei Vassilvitskii
Silvio Lattanzi
Vahab Mirrokni
Vincent Pierre Cohen-addad
2022 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2022) (to appear)
Private optimization without constraint violations
Andres Munoz Medina
Umar Syed
Sergei Vassilvitskii
Ellen Vitercik
2021
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy
Alex Kulesza
Andres Munoz Medina
Kareem Amin
Sergei Vassilvitskii
ICML 2019 (2019)
Search on Google Scholar