Andrés Muñoz Medina

27 papers A* 9A 3Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Differentially Private Synthetic Data Release for Topics API Outputs.
KDD (2)
Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Andrés Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong
2025 J jnl
Differentially Private Synthetic Data Release for Topics API Outputs.
CoRR
Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Andrés Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong
2025 A* conf
Differentially private optimization for non-decomposable objective functions.
ICLR
Weiwei Kong, Andrés Muñoz Medina, Mónica Ribero
2024 A* conf
Auditing Privacy Mechanisms via Label Inference Attacks.
NeurIPS
Róbert Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam Smith, Marika Swanberg
2024 J jnl
Auditing Privacy Mechanisms via Label Inference Attacks.
CoRR
Róbert Istvan Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam Smith, Marika Swanberg
2024 A* conf
DP-Auditorium: A Large-Scale Library for Auditing Differential Privacy.
SP
William Kong, Andrés Muñoz Medina, Mónica Ribero, Umar Syed
2024 A ed.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
WSDM
Luz Angelica Caudillo-Mata, Silvio Lattanzi, Andrés Muñoz Medina, Leman Akoglu, Aristides Gionis, Sergei Vassilvitskii
2024 — conf
Smooth Anonymity for Sparse Graphs.
WWW (Companion Volume)
Alessandro Epasto, Hossein Esfandiari, Vahab Mirrokni, Andrés Muñoz Medina
2023 A* conf
A Unified Fast Gradient Clipping Framework for DP-SGD.
NeurIPS
Weiwei Kong, Andrés Muñoz Medina
2023 J jnl
DP-SGD for non-decomposable objective functions.
CoRR
William Kong, Andrés Muñoz Medina, Mónica Ribero
2023 A* conf
Easy Learning from Label Proportions.
NeurIPS
Róbert Busa-Fekete, Heejin Choi, Travis Dick, Claudio Gentile, Andrés Muñoz Medina
2023 J jnl
Easy Learning from Label Proportions.
CoRR
Róbert Istvan Busa-Fekete, Heejin Choi, Travis Dick, Claudio Gentile, Andrés Muñoz Medina
2023 A* conf
Label differential privacy and private training data release.
ICML
Róbert Istvan Busa-Fekete, Andrés Muñoz Medina, Umar Syed, Sergei Vassilvitskii
2023 J jnl
Measuring Re-identification Risk.
CoRR
CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andrés Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong
2023 J jnl
RényiTester: A Variational Approach to Testing Differential Privacy.
CoRR
William Kong, Andrés Muñoz Medina, Mónica Ribero
2022 J jnl
A Joint Exponential Mechanism For Differentially Private Top-k.
CoRR
Jennifer Gillenwater, Matthew Joseph, Andrés Muñoz Medina, Mónica Ribero
2022 A* conf
Private and Communication-Efficient Algorithms for Entropy Estimation.
NeurIPS
Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andrés Muñoz Medina, Umar Syed
2022 J jnl
Statistical anonymity: Quantifying reidentification risks without reidentifying users.
CoRR
Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Lee M. Gunderson, Andrés Muñoz Medina, Umar Syed
2021 A* conf
Clustering for Private Interest-based Advertising.
KDD
Alessandro Epasto, Andrés Muñoz Medina, Steven Avery, Yijian Bai, Róbert Busa-Fekete, CJ Carey, Ya Gao, David Guthrie, Subham Ghosh, James Ioannidis, Junyi Jiao, Jakub Lacki, Jason Lee, Arne Mauser, Brian Milch, Vahab S. Mirrokni, Deepak Ravichandran, Wei Shi, Max Spero, Yunting Sun, Umar Syed, Sergei Vassilvitskii, Shuo Wang
2021 A conf
Private optimization without constraint violations.
AISTATS
Andrés Muñoz Medina, Umar Syed, Sergei Vassilvitskii, Ellen Vitercik
2020 J jnl
Duff: A Dataset-Distance-Based Utility Function Family for the Exponential Mechanism.
CoRR
Andrés Muñoz Medina, Jenny Gillenwater
2020 J jnl
Private Optimization Without Constraint Violations.
CoRR
Andrés Muñoz Medina, Umar Syed, Sergei Vassilvitskii, Ellen Vitercik
2019 J jnl
Adaptation Based on Generalized Discrepancy.
J. Mach. Learn. Res.
Corinna Cortes, Mehryar Mohri, Andrés Muñoz Medina
2018 A conf
Online Learning for Non-Stationary A/B Tests.
CIKM
Andrés Muñoz Medina, Sergei Vassilvitskii, Dong Yin
2018 J jnl
Online Learning for Non-Stationary A/B Tests.
CoRR
Andrés Muñoz Medina, Sergei Vassilvitskii, Dong Yin
2018 A* conf
Testing Incentive Compatibility in Display Ad Auctions.
WWW
Sébastien Lahaie, Andrés Muñoz Medina, Balasubramanian Sivan, Sergei Vassilvitskii
2017 J jnl
Revenue Optimization with Approximate Bid Predictions.
CoRR
Andrés Muñoz Medina, Sergei Vassilvitskii