SoK: Differential Privacies

4 June 2019

Papers citing "SoK: Differential Privacies"

27 / 27 papers shown

Title
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy Nicolas Küchler Alexander Viand Hidde Lycklama Anwar Hithnawi 26 0 0 10 May 2025
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Chih-Cheng Rex Yuan Bow-Yaw Wang 52 0 0 30 Apr 2025
On the Impact of Noise in Differentially Private Text Rewriting Stephen Meisenbacher Maulik Chevli Florian Matthes 58 0 0 31 Jan 2025
ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries Rachel Cummings Shlomi Hod Jayshree Sarathy Marika Swanberg 41 2 0 02 May 2024
Private Fine-tuning of Large Language Models with Zeroth-order Optimization Xinyu Tang Ashwinee Panda Milad Nasr Saeed Mahloujifar Prateek Mittal 44 18 0 09 Jan 2024
An In-Depth Examination of Requirements for Disclosure Risk Assessment Ron S. Jarmin John M. Abowd Robert Ashmead Ryan Cumings-Menon N. Goldschlag ... Jerome P. Reiter Rolando A. Rodríguez Ian M. Schmutte V. Velkoff Pavel I Zhuravlev 29 9 0 13 Oct 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions Lijie Hu Ivan Habernal Lei Shen Di Wang AAML 20 18 0 22 Jan 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning A. Salem Giovanni Cherubin David E. Evans Boris Köpf Andrew J. Paverd Anshuman Suri Shruti Tople Santiago Zanella Béguelin 44 35 0 21 Dec 2022
Distribution inference risks: Identifying and mitigating sources of leakage Valentin Hartmann Léo Meynent Maxime Peyrard Dimitrios Dimitriadis Shruti Tople Robert West MIACV 29 14 0 18 Sep 2022
Algorithms with More Granular Differential Privacy Guarantees Badih Ghazi Ravi Kumar Pasin Manurangsi Thomas Steinke 54 6 0 08 Sep 2022
Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census Daniel Kifer John M. Abowd Robert Ashmead Ryan Cumings-Menon Philip Leclerc Ashwin Machanavajjhala William Sexton Pavel I Zhuravlev 48 26 0 07 Sep 2022
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting Timour Igamberdiev Thomas Arnold Ivan Habernal 25 19 0 22 Aug 2022
Differential Privacy in Natural Language Processing: The Story So Far Oleksandra Klymenko Stephen Meisenbacher Florian Matthes 28 15 0 17 Aug 2022
Partial sensitivity analysis in differential privacy Tamara T. Mueller Alexander Ziller Dmitrii Usynin Moritz Knolle F. Jungmann Daniel Rueckert Georgios Kaissis 45 1 0 22 Sep 2021
The Effect of False Positives: Why Fuzzy Message Detection Leads to Fuzzy Privacy Guarantees? István András Seres Balázs Pejó P. Burcsi 17 17 0 14 Sep 2021
Asymmetric Differential Privacy Shun Takagi Yang Cao Masatoshi Yoshikawa 31 6 0 01 Mar 2021
Differential Privacy for Government Agencies -- Are We There Yet? Joerg Drechsler 26 20 0 17 Feb 2021
Privacy-Preserving Graph Convolutional Networks for Text Classification Timour Igamberdiev Ivan Habernal GNN 31 33 0 10 Feb 2021
Correlated Data in Differential Privacy: Definition and Analysis Tao Zhang Tianqing Zhu Renping Liu Wanlei Zhou 16 13 0 01 Aug 2020
Quality Inference in Federated Learning with Secure Aggregation Balázs Pejó G. Biczók FedML 19 22 0 13 Jul 2020
Differential Privacy at Risk: Bridging Randomness and Privacy Budget Ashish Dandekar D. Basu S. Bressan 27 8 0 02 Mar 2020
Empirical Differential Privacy P. Burchard Anthony Daoud Dominic Dotterrer 11 3 0 28 Oct 2019
Differentially Private SQL with Bounded User Contribution Royce J. Wilson Celia Yuxin Zhang William K. C. Lam Damien Desfontaines Daniel Simmons-Marengo Bryant Gipson 22 147 0 04 Sep 2019
Local Distribution Obfuscation via Probability Coupling Yusuke Kawamoto Takao Murakami 28 7 0 13 Jul 2019
Prochlo: Strong Privacy for Analytics in the Crowd Andrea Bittau Ulfar Erlingsson Petros Maniatis Ilya Mironov A. Raghunathan David Lie Mitch Rudominer Ushasree Kode J. Tinnés B. Seefeld 88 278 0 02 Oct 2017
Privacy Against Statistical Inference Flavio du Pin Calmon N. Fawaz FedML 100 345 0 08 Oct 2012
Mechanism Design in Large Games: Incentives and Privacy Michael Kearns Mallesh M. Pai Aaron Roth Jonathan R. Ullman 84 182 0 17 Jul 2012