@inproceedings{756e312f26db4e73a83c863d37cdc549,
title = "Bounded-leakage differential privacy",
abstract = "We introduce and study a relaxation of differential privacy [3] that accounts for mechanisms that leak some additional, bounded information about the database. We apply this notion to reason about two distinct settings where the notion of differential privacy is of limited use. First, we consider cases, such as in the 2020 US Census [1], in which some information about the database is released exactly or with small noise. Second, we consider the accumulation of privacy harms for an individual across studies that may not even include the data of this individual. The tools that we develop for bounded-leakage differential privacy allow us reason about privacy loss in these settings, and to show that individuals preserve some meaningful protections.",
keywords = "Applications, Auxiliary information, Differential privacy, Leakage, Privacy",
author = "Katrina Ligett and Charlotte Peale and Omer Reingold",
note = "Publisher Copyright: {\textcopyright} Katrina Ligett, Charlotte Peale, and Omer Reingold; licensed under Creative Commons License CC-BY; 1st Symposium on Foundations of Responsible Computing, FORC 2020 ; Conference date: 01-06-2020",
year = "2020",
month = may,
day = "1",
doi = "10.4230/LIPIcs.FORC.2020.10",
language = "الإنجليزيّة",
series = "Leibniz International Proceedings in Informatics, LIPIcs",
publisher = "Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing",
editor = "Aaron Roth",
booktitle = "1st Symposium on Foundations of Responsible Computing, FORC 2020",
address = "ألمانيا",
}