Issues Encountered Deploying Differential Privacy

6 September 2018

Papers citing "Issues Encountered Deploying Differential Privacy"

27 / 27 papers shown

Title
Position: Challenges and Opportunities for Differential Privacy in the U.S. Federal Government Amol Khanna Adam McCormick A. Nguyen Chris Aguirre Edward Raff 59 0 0 21 Oct 2024
What to Consider When Considering Differential Privacy for Policy Priyanka Nanayakkara Jessica Hullman 93 2 0 18 Sep 2024
Practical Considerations for Differential Privacy Kareem Amin Alex Kulesza Sergei Vassilvitskii 58 5 0 14 Aug 2024
Collection, usage and privacy of mobility data in the enterprise and public administrations Alexandra Kapp 54 5 0 04 Jul 2024
AHSecAgg and TSKG: Lightweight Secure Aggregation for Federated Learning Without Compromise Siqing Zhang Yong Liao Pengyuan Zhou FedML 43 2 0 08 Dec 2023
Towards Efficient Secure Aggregation in FL: Partial Vector Freezing for Cost Compression Siqing Zhang Yong Liao Pengyuan Zhou 50 0 0 08 Dec 2023
Statistical properties and privacy guarantees of an original distance-based fully synthetic data generation method Rémy Chapelle Bruno Falissard 71 0 0 10 Oct 2023
Evaluating the Impact of Local Differential Privacy on Utility Loss via Influence Functions Alycia N. Carey Minh-Hao Van Xintao Wu 49 1 0 15 Sep 2023
A Floating-Point Secure Implementation of the Report Noisy Max with Gap Mechanism Zeyu Ding J. Durrell Daniel Kifer Prottay Protivash Guanhong Wang Yuxin Wang Yingtai Xiao Qiang Yan 45 1 0 15 Aug 2023
A Fast Algorithm for Adaptive Private Mean Estimation John C. Duchi Saminul Haque Rohith Kuditipudi FedML 67 15 0 17 Jan 2023
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry Gonzalo Munilla Garrido Xiaoyuan Liu Florian Matthes Basel Alomair 66 25 0 07 Nov 2022
Explaining epsilon in local differential privacy through the lens of quantitative information flow Natasha Fernandes Annabelle McIver Parastoo Sadeghi PILM 47 2 0 24 Oct 2022
Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata Mário S. Alvim Natasha Fernandes Annabelle McIver Carroll Morgan Gabriel H. Nunes 22 5 0 28 Apr 2022
Differential Private Discrete Noise Adding Mechanism: Conditions, Properties and Optimization Shuying Qin Jianping He Chongrong Fang J. Lam 41 6 0 19 Mar 2022
Generation Matrix: An Embeddable Matrix Representation for Hierarchical Trees Jianping Cai Ximeng Liu Jiayin Li Shuangyue Zhang 19 2 0 27 Jan 2022
An Uncertainty Principle is a Price of Privacy-Preserving Microdata John M. Abowd Robert Ashmead Ryan Cumings-Menon S. Garfinkel Daniel Kifer Philip Leclerc William Sexton Ashley Simpson Christine Task Pavel I Zhuravlev 72 16 0 25 Oct 2021
Do I Get the Privacy I Need? Benchmarking Utility in Differential Privacy Libraries Gonzalo Munilla Garrido Joseph P. Near Aitsam Muhammad Warren He Roman Matzutt Florian Matthes 85 13 0 22 Sep 2021
Differential Privacy for Government Agencies -- Are We There Yet? Joerg Drechsler 97 22 0 17 Feb 2021
Randori: Local Differential Privacy for All Boel Nelson 21 2 0 27 Jan 2021
Multi-Dimensional Randomized Response J. Domingo-Ferrer Jordi Soria-Comas 21 12 0 21 Oct 2020
Randomness Concerns When Deploying Differential Privacy S. Garfinkel Philip Leclerc SyDa 30 19 0 06 Sep 2020
Differential Privacy at Risk: Bridging Randomness and Privacy Budget Ashish Dandekar D. Basu S. Bressan 102 8 0 02 Mar 2020
Taking a Lesson from Quantum Particles for Statistical Data Privacy F. Farokhi 21 0 0 14 Aug 2019
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 160 126 0 04 Jun 2019
Generating Poisson-Distributed Differentially Private Synthetic Data Harrison Quick 30 20 0 02 Jun 2019
Automatic Discovery of Privacy-Utility Pareto Fronts Brendan Avent Javier I. González Tom Diethe Andrei Paleyes Borja Balle FedML 61 28 0 26 May 2019
Hypothesis Testing Interpretations and Renyi Differential Privacy Borja Balle Gilles Barthe Marco Gaboardi Justin Hsu Tetsuya Sato 73 117 0 24 May 2019