Busa-Fekete, Robert Istvan

7 publications

AISTATS 2025 Near-Optimal Algorithms for Private Estimation and Sequential Testing of Collision Probability Robert Istvan Busa-Fekete, Umar Syed

ICML 2025 Nearly Optimal Sample Complexity for Learning with Label Proportions Robert Istvan Busa-Fekete, Travis Dick, Claudio Gentile, Haim Kaplan, Tomer Koren, Uri Stemmer

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

ICML 2023 Label Differential Privacy and Private Training Data Release Robert Istvan Busa-Fekete, Andres Munoz Medina, Umar Syed, Sergei Vassilvitskii

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