Swanberg, Marika

5 publications

ICLRW 2025 Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data? Marika Swanberg, Ryan McKenna, Edo Roth, Albert Cheu, Peter Kairouz

AISTATS 2025 Privacy in Metalearning and Multitask Learning: Modeling and Separations Maryam Aliakbarpour, Konstantina Bairaktari, Adam Smith, Marika Swanberg, Jonathan Ullman

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

NeurIPS 2021 Differentially Private Sampling from Distributions Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith, Marika Swanberg