Medina, Andres Munoz

17 publications

ICLR 2025 Differentially Private Optimization for Non-Decomposable Objective Functions Weiwei Kong, Andres Munoz Medina, Mónica Ribero

NeurIPS 2024 Auditing Privacy Mechanisms via Label Inference Attacks Róbert István Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam Smith, Marika Swanberg

NeurIPSW 2023 A New Framework for Measuring Re-Identification Risk Cj Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Munoz Medina, Vahab Mirrokni, Gabriel Nunes, Sergei Vassilvitskii, Peilin Zhong

NeurIPSW 2023 A Unified Analysis of Label Inference Attacks Andres Munoz Medina, Travis Dick, Claudio Gentile, Robert Istvan Busa-Fekete, Marika Swanberg

NeurIPS 2023 A Unified Fast Gradient Clipping Framework for DP-SGD Weiwei Kong, Andres Munoz Medina

NeurIPS 2023 Easy Learning from Label Proportions Róbert Busa-Fekete, Heejin Choi, Travis Dick, Claudio Gentile, Andres Munoz Medina

NeurIPSW 2023 RényiTester: A Variational Approach to Testing Differential Privacy Weiwei Kong, Andres Munoz Medina, Mónica Ribero

NeurIPS 2022 Private and Communication-Efficient Algorithms for Entropy Estimation Gecia Bravo-Hermsdorff, Róbert Busa-Fekete, Mohammad Ghavamzadeh, Andres Munoz Medina, Umar Syed

NeurIPSW 2021 A Joint Exponential Mechanism for Differentially Private Top-K Set Andres Munoz Medina, Matthew Joseph, Jennifer Gillenwater, Mónica Ribero

NeurIPSW 2021 On the Pitfalls of Label Differential Privacy Andres Munoz Medina, Robert Istvan Busa-Fekete, Umar Syed, Sergei Vassilvitskii

NeurIPSW 2021 Population Level Privacy Leakage in Binary Classification Wtih Label Noise Robert Istvan Busa-Fekete, Andres Munoz Medina, Umar Syed, Sergei Vassilvitskii

JMLR 2019 Adaptation Based on Generalized Discrepancy Corinna Cortes, Mehryar Mohri, Andrés Muñoz Medina

JMLR 2016 Learning Algorithms for Second-Price Auctions with Reserve Mehryar Mohri, Andres Munoz Medina

ICML 2016 No-Regret Algorithms for Heavy-Tailed Linear Bandits Andres Munoz Medina, Scott Yang

UAI 2015 Non-Parametric Revenue Optimization for Generalized Second Price Auctions Mehryar Mohri, Andres Muñoz Medina

ICML 2014 Learning Theory and Algorithms for Revenue Optimization in Second Price Auctions with Reserve Mehryar Mohri, Andres Munoz Medina

ALT 2012 New Analysis and Algorithm for Learning with Drifting Distributions Mehryar Mohri, Andres Muñoz Medina