Towards Benchmarking Privacy Risk for Differential Privacy: A Survey-Reference-Cited by-同舟云学术

Towards Benchmarking Privacy Risk for Differential Privacy: A Survey

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
language:
Short-container-title:

Author:

Prokhorenkov Dmitry¹^ORCID,Cao Yang²^ORCID

Affiliation:

1. Technical University of Munich, Germany

2. Hokkaido University, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3600100.3625373

Reference77 articles.

1. What a hybrid legal-technical analysis teaches us about privacy regulation: The case of singling out. BUJ Sci;Altman Micah;& Tech.,2021

2. Kareem Amin , Alex Kulesza , Andres Munoz , and Sergei Vassilvtiskii . 2019 . Bounding user contributions: A bias-variance trade-off in differential privacy . In International Conference on Machine Learning. PMLR, 263–271 . Kareem Amin, Alex Kulesza, Andres Munoz, and Sergei Vassilvtiskii. 2019. Bounding user contributions: A bias-variance trade-off in differential privacy. In International Conference on Machine Learning. PMLR, 263–271.

3. Eugene Bagdasaryan , Omid Poursaeed , and Vitaly Shmatikov . 2019. Differential privacy has disparate impact on model accuracy. Advances in neural information processing systems 32 ( 2019 ). Eugene Bagdasaryan, Omid Poursaeed, and Vitaly Shmatikov. 2019. Differential privacy has disparate impact on model accuracy. Advances in neural information processing systems 32 (2019).

4. George Balston Marion Oswald Alexander Harris and Ardi Janjeva. 2022. Implications of Emerging Privacy Enhancing Technologies for UK Surveillance Policy. (2022). George Balston Marion Oswald Alexander Harris and Ardi Janjeva. 2022. Implications of Emerging Privacy Enhancing Technologies for UK Surveillance Policy. (2022).

5. Quantifying Privacy Violations