Prati
Marika Swanberg
Marika Swanberg
Google
Potvrđena adresa e-pošte na google.com - Početna stranica
Naslov
Citirano
Citirano
Godina
Universally composable end-to-end secure messaging
R Canetti, P Jain, M Swanberg, M Varia
Annual International Cryptology Conference, 3-33, 2022
352022
Improved differentially private analysis of variance
M Swanberg, I Globus-Harris, I Griffith, A Ritz, A Groce, A Bray
Proceedings on Privacy Enhancing Technologies 2019 (3), 2019
222019
Control, Confidentiality, and the Right to be Forgotten
A Cohen, A Smith, M Swanberg, PN Vasudevan
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
132023
Differentially private sampling from distributions
S Raskhodnikova, S Sivakumar, A Smith, M Swanberg
Advances in Neural Information Processing Systems 34, 28983-28994, 2021
102021
DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection
M Swanberg, D Desfontaines, S Haney
Proceedings on Privacy Enhancing Technologies 2023 (3), 2023
52023
Attaxonomy: Unpacking Differential Privacy Guarantees Against Practical Adversaries
R Cummings, S Hod, J Sarathy, M Swanberg
arXiv preprint arXiv:2405.01716, 2024
22024
Measuring memorization through probabilistic discoverable extraction
J Hayes, M Swanberg, H Chaudhari, I Yona, I Shumailov
arXiv preprint arXiv:2410.19482, 2024
12024
Auditing Privacy Mechanisms via Label Inference Attacks
RI Busa-Fekete, T Dick, C Gentile, AM Medina, A Smith, M Swanberg
Advances in Neural Information Processing Systems 38, 2024
12024
Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data?
M Swanberg, R McKenna, E Roth, A Cheu, P Kairouz
arXiv preprint arXiv:2502.06555, 2025
2025
Privacy in Metalearning and Multitask Learning: Modeling and Separations
M Aliakbarpour, K Bairaktari, A Smith, M Swanberg, J Ullman
arXiv preprint arXiv:2412.12374, 2024
2024
Auditing Privacy Mechanisms via Label Inference Attacks
R István Busa-Fekete, T Dick, C Gentile, A Muñoz Medina, A Smith, ...
arXiv e-prints, arXiv: 2406.02797, 2024
2024
Noisy Quantum Oracles: A Study of Algorithmic Robustness
M Swanberg
Reed College, 2019
2019
Measuring memorization in language models via probabilistic extraction
J Hayes, M Swanberg, H Chaudhari, I Yona, I Shumailov, M Nasr, ...
A Unified Analysis of Label Inference Attacks
T Dick, C Gentile, RI Busa-Fekete, M Swanberg
NeurIPS 2023 Workshop on Regulatable ML, 0
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