Marika Swanberg

20 papers A* 3A 1Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond the Worst Case: Extending Differential Privacy Guarantees to Realistic Adversaries. CoRR Marika Swanberg, Meenatchi Sundaram Muthu Selva Annamalai, Jamie Hayes, Borja Balle, Adam D. Smith
2025	J	`jnl`	Differentially Private Sampling from Distributions. SIAM J. Comput. Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith, Marika Swanberg
2025	J	`jnl`	Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data? CoRR Marika Swanberg, Ryan McKenna, Edo Roth, Albert Cheu, Peter Kairouz
2025	—	`conf`	Measuring memorization in language models via probabilistic extraction. NAACL (Long Papers) Jamie Hayes, Marika Swanberg, Harsh Chaudhari, Itay Yona, Ilia Shumailov, Milad Nasr, Christopher A. Choquette-Choo, Katherine Lee, A. Feder Cooper
2025	A	`conf`	Privacy in Metalearning and Multitask Learning: Modeling and Separations. AISTATS Maryam Aliakbarpour, Konstantina Bairaktari, Adam Smith, Marika Swanberg, Jonathan R. Ullman
2024	J	`jnl`	ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries. CoRR Rachel Cummings, Shlomi Hod, Jayshree Sarathy, Marika Swanberg
2024	A*	`conf`	Auditing Privacy Mechanisms via Label Inference Attacks. NeurIPS Róbert Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam Smith, Marika Swanberg
2024	J	`jnl`	Auditing Privacy Mechanisms via Label Inference Attacks. CoRR Róbert Istvan Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam Smith, Marika Swanberg
2024	J	`jnl`	Measuring memorization through probabilistic discoverable extraction. CoRR Jamie Hayes, Marika Swanberg, Harsh Chaudhari, Itay Yona, Ilia Shumailov
2024	J	`jnl`	Privacy in Metalearning and Multitask Learning: Modeling and Separations. CoRR Maryam Aliakbarpour, Konstantina Bairaktari, Adam D. Smith, Marika Swanberg, Jonathan R. Ullman
2023	A*	`conf`	Control, Confidentiality, and the Right to be Forgotten. CCS Aloni Cohen, Adam D. Smith, Marika Swanberg, Prashant Nalini Vasudevan
2023	J	`jnl`	DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection. CoRR Marika Swanberg, Damien Desfontaines, Samuel Haney
2023	J	`jnl`	DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection. Proc. Priv. Enhancing Technol. Marika Swanberg, Damien Desfontaines, Samuel Haney
2022	J	`jnl`	Control, Confidentiality, and the Right to be Forgotten. CoRR Aloni Cohen, Adam Smith, Marika Swanberg, Prashant Nalini Vasudevan
2022	J	`jnl`	Differentially Private Sampling from Distributions. CoRR Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith, Marika Swanberg
2022	—	`conf`	Universally Composable End-to-End Secure Messaging. CRYPTO (2) Ran Canetti, Palak Jain, Marika Swanberg, Mayank Varia
2022	J	`jnl`	Universally Composable End-to-End Secure Messaging. IACR Cryptol. ePrint Arch. Ran Canetti, Palak Jain, Marika Swanberg, Mayank Varia
2021	A*	`conf`	Differentially Private Sampling from Distributions. NeurIPS Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith, Marika Swanberg
2019	J	`jnl`	Improved Differentially Private Analysis of Variance. CoRR Marika Swanberg, Ira Globus-Harris, Iris Griffith, Anna M. Ritz, Adam Groce, Andrew Bray
2019	J	`jnl`	Improved Differentially Private Analysis of Variance. Proc. Priv. Enhancing Technol. Marika Swanberg, Ira Globus-Harris, Iris Griffith, Anna M. Ritz, Adam Groce, Andrew Bray