Andrés Muñoz Medina

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Incentive Compatibility

Differential Privacy

Differentially Private

Top Venues

Publications

Alessandro Epasto, Hossein Esfandiari, Vahab Mirrokni, Andrés Muñoz Medina
Smooth Anonymity for Sparse Graphs. WWW (Companion Volume) (2024)
Róbert Istvan Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam D. Smith, Marika Swanberg
Auditing Privacy Mechanisms via Label Inference Attacks. CoRR (2024)
CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andrés Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong
Measuring Re-identification Risk. CoRR (2023)
Weiwei Kong, Andrés Muñoz Medina
A Unified Fast Gradient Clipping Framework for DP-SGD. NeurIPS (2023)
Róbert Busa-Fekete, Heejin Choi, Travis Dick, Claudio Gentile, Andrés Muñoz Medina
Easy Learning from Label Proportions. NeurIPS (2023)
Róbert Istvan Busa-Fekete, Andrés Muñoz Medina, Umar Syed, Sergei Vassilvitskii
Label differential privacy and private training data release. ICML (2023)
Róbert Istvan Busa-Fekete, Heejin Choi, Travis Dick, Claudio Gentile, Andrés Muñoz Medina
Easy Learning from Label Proportions. CoRR (2023)
William Kong, Andrés Muñoz Medina, Mónica Ribero
RényiTester: A Variational Approach to Testing Differential Privacy. CoRR (2023)
William Kong, Andrés Muñoz Medina, Mónica Ribero
DP-SGD for non-decomposable objective functions. CoRR (2023)
Gecia Bravo Hermsdorff, Róbert Busa-Fekete, Lee M. Gunderson, Andrés Muñoz Medina, Umar Syed
Statistical anonymity: Quantifying reidentification risks without reidentifying users. CoRR (2022)
Gecia Bravo-Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andrés Muñoz Medina, Umar Syed
Private and Communication-Efficient Algorithms for Entropy Estimation. NeurIPS (2022)
Jennifer Gillenwater, Matthew Joseph, Andrés Muñoz Medina, Mónica Ribero
A Joint Exponential Mechanism For Differentially Private Top-k. CoRR (2022)
Andrés Muñoz Medina, Umar Syed, Sergei Vassilvitskii, Ellen Vitercik
Private optimization without constraint violations. AISTATS (2021)
Alessandro Epasto, Andrés Muñoz Medina, Steven Avery, Yijian Bai, Róbert Busa-Fekete, C. J. 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
Clustering for Private Interest-based Advertising. KDD (2021)
Andrés Muñoz Medina, Jenny Gillenwater
Duff: A Dataset-Distance-Based Utility Function Family for the Exponential Mechanism. CoRR (2020)
Andrés Muñoz Medina, Umar Syed, Sergei Vassilvitskii, Ellen Vitercik
Private Optimization Without Constraint Violations. CoRR (2020)
Corinna Cortes, Mehryar Mohri, Andrés Muñoz Medina
Adaptation Based on Generalized Discrepancy. J. Mach. Learn. Res. 20 (2019)
Andrés Muñoz Medina, Sergei Vassilvitskii, Dong Yin
Online Learning for Non-Stationary A/B Tests. CoRR (2018)
Andrés Muñoz Medina, Sergei Vassilvitskii, Dong Yin
Online Learning for Non-Stationary A/B Tests. CIKM (2018)
Sébastien Lahaie, Andrés Muñoz Medina, Balasubramanian Sivan, Sergei Vassilvitskii
Testing Incentive Compatibility in Display Ad Auctions. WWW (2018)
Andrés Muñoz Medina, Sergei Vassilvitskii
Revenue Optimization with Approximate Bid Predictions. CoRR (2017)