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Marika Swanberg
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2020 – today
- 2025
[j3]Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith
, Marika Swanberg:
Differentially Private Sampling from Distributions. SIAM J. Comput. 54(2): 419-468 (2025)
[c6]Maryam Aliakbarpour, Konstantina Bairaktari, Adam Smith, Marika Swanberg, Jonathan R. Ullman:
Privacy in Metalearning and Multitask Learning: Modeling and Separations. AISTATS 2025: 4096-4104
[c5]Jamie Hayes, Marika Swanberg, Harsh Chaudhari, Itay Yona, Ilia Shumailov, Milad Nasr, Christopher A. Choquette-Choo, Katherine Lee, A. Feder Cooper:
Measuring memorization in language models via probabilistic extraction. NAACL (Long Papers) 2025: 9266-9291
[i11]Marika Swanberg, Ryan McKenna, Edo Roth, Albert Cheu, Peter Kairouz:
Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data? CoRR abs/2502.06555 (2025)
[i10]Marika Swanberg, Meenatchi Sundaram Muthu Selva Annamalai, Jamie Hayes, Borja Balle, Adam D. Smith:
Beyond the Worst Case: Extending Differential Privacy Guarantees to Realistic Adversaries. CoRR abs/2507.08158 (2025)- 2024
[c4]Róbert Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam Smith, Marika Swanberg:
Auditing Privacy Mechanisms via Label Inference Attacks. NeurIPS 2024
[i9]Rachel Cummings, Shlomi Hod, Jayshree Sarathy, Marika Swanberg:
ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries. CoRR abs/2405.01716 (2024)
[i8]Róbert Istvan Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam Smith, Marika Swanberg:
Auditing Privacy Mechanisms via Label Inference Attacks. CoRR abs/2406.02797 (2024)
[i7]Jamie Hayes, Marika Swanberg, Harsh Chaudhari, Itay Yona, Ilia Shumailov:
Measuring memorization through probabilistic discoverable extraction. CoRR abs/2410.19482 (2024)
[i6]Maryam Aliakbarpour, Konstantina Bairaktari, Adam D. Smith, Marika Swanberg, Jonathan R. Ullman:
Privacy in Metalearning and Multitask Learning: Modeling and Separations. CoRR abs/2412.12374 (2024)- 2023
[j2]Marika Swanberg, Damien Desfontaines, Samuel Haney:
DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection. Proc. Priv. Enhancing Technol. 2023(4): 257-268 (2023)
[c3]Aloni Cohen
, Adam D. Smith
, Marika Swanberg
, Prashant Nalini Vasudevan
:
Control, Confidentiality, and the Right to be Forgotten. CCS 2023: 3358-3372
[i5]Marika Swanberg, Damien Desfontaines, Samuel Haney:
DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection. CoRR abs/2301.01998 (2023)- 2022
[c2]Ran Canetti, Palak Jain
, Marika Swanberg, Mayank Varia:
Universally Composable End-to-End Secure Messaging. CRYPTO (2) 2022: 3-33
[i4]Aloni Cohen
, Adam Smith, Marika Swanberg, Prashant Nalini Vasudevan:
Control, Confidentiality, and the Right to be Forgotten. CoRR abs/2210.07876 (2022)
[i3]Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith, Marika Swanberg:
Differentially Private Sampling from Distributions. CoRR abs/2211.08193 (2022)
[i2]Ran Canetti, Palak Jain, Marika Swanberg, Mayank Varia:
Universally Composable End-to-End Secure Messaging. IACR Cryptol. ePrint Arch. 2022: 376 (2022)- 2021
[c1]Sofya Raskhodnikova, Satchit Sivakumar, Adam D. Smith, Marika Swanberg:
Differentially Private Sampling from Distributions. NeurIPS 2021: 28983-28994
2010 – 2019
- 2019
[j1]Marika Swanberg, Ira Globus-Harris, Iris Griffith, Anna M. Ritz, Adam Groce, Andrew Bray:
Improved Differentially Private Analysis of Variance. Proc. Priv. Enhancing Technol. 2019(3): 310-330 (2019)
[i1]Marika Swanberg, Ira Globus-Harris, Iris Griffith, Anna M. Ritz, Adam Groce, Andrew Bray:
Improved Differentially Private Analysis of Variance. CoRR abs/1903.00534 (2019)
Coauthor Index

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last updated on 2025-10-28 23:38 CET by the dblp team
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