Analysing and evaluating syntactic privacy games via a recommender systems case study
The probabilistic notion of differential privacy has emerged as a popular measure for systems that support interactive data release. Consequently, there exists a portfolio of mechanisms to achieve differential privacy. A complementary approach is to represent syntactic privacy notions such as anonym...
Главные авторы: | Ankele, R, Simpson, A |
---|---|
Формат: | Conference item |
Язык: | English |
Опубликовано: |
IEEE
2020
|
Схожие документы
-
Abstracting syntactic privacy notions via privacy games
по: Ankele, R, и др.
Опубликовано: (2020) -
Addressing syntactic privacy for privacy-preserving data analysis and data release
по: Ankele, R
Опубликовано: (2020) -
Applying the trustworthy remote entity to privacy-preserving multiparty computation: requirements and criteria for large-scale applications
по: Ankele, R, и др.
Опубликовано: (2016) -
Controlling privacy in recommender systems
по: Xin, Yu, и др.
Опубликовано: (2015) -
A Taxonomy of Syntactic Privacy Notions for Continuous Data Publishing
по: Adrian Tobar Nicolau, и др.
Опубликовано: (2024-01-01)