Marika Swanberg

According to our database, Marika Swanberg authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Beyond the Worst Case: Extending Differential Privacy Guarantees to Realistic Adversaries.

Marika Swanberg, Meenatchi Sundaram Muthu Selva Annamalai, Jamie Hayes, Borja Balle, Adam D. Smith

CoRR, July, 2025

Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?

Marika Swanberg, Ryan McKenna, Edo Roth, Albert Cheu, Peter Kairouz

CoRR, February, 2025

Differentially Private Sampling from Distributions.

Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith, Marika Swanberg

SIAM J. Comput., 2025

Measuring memorization in language models via probabilistic extraction.

Jamie Hayes, Marika Swanberg, Harsh Chaudhari, Itay Yona, Ilia Shumailov, Milad Nasr, Christopher A. Choquette-Choo, Katherine Lee, A. Feder Cooper

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Privacy in Metalearning and Multitask Learning: Modeling and Separations.

Maryam Aliakbarpour, Konstantina Bairaktari, Adam Smith, Marika Swanberg, Jonathan R. Ullman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Measuring memorization through probabilistic discoverable extraction.

Jamie Hayes, Marika Swanberg, Harsh Chaudhari, Itay Yona, Ilia Shumailov

CoRR, 2024

ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries.

Rachel Cummings, Shlomi Hod, Jayshree Sarathy, Marika Swanberg

CoRR, 2024

Auditing Privacy Mechanisms via Label Inference Attacks.

Róbert Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam Smith, Marika Swanberg

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection.

Marika Swanberg, Damien Desfontaines, Samuel Haney

Proc. Priv. Enhancing Technol., October, 2023

Control, Confidentiality, and the Right to be Forgotten.

Aloni Cohen, Adam D. Smith, Marika Swanberg, Prashant Nalini Vasudevan

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Universally Composable End-to-End Secure Messaging.

Ran Canetti, Palak Jain, Marika Swanberg, Mayank Varia

IACR Cryptol. ePrint Arch., 2022

2019

Improved Differentially Private Analysis of Variance.

Marika Swanberg, Ira Globus-Harris, Iris Griffith, Anna M. Ritz, Adam Groce, Andrew Bray

Proc. Priv. Enhancing Technol., 2019