Analysing and evaluating syntactic privacy games via a recommender systems case study

Conference item

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 anonymity and unlinkability in the form of games. Via these games, the understanding of, and relationship between, privacy notions is clarified; further, an unambiguous understanding of adversarial actio...

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Authors: Ankele, R; Simpson, A

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: IEEE Publisher's website
• Host title: 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
• Pages: 1275-1282
• Publication date: 2020-04-09
• Acceptance date: 2019-04-28
• Event title: Advanced and Trusted Computing 2019
• Event location: Leicester, United Kingdom
• Event website: http://www.smart-world.org/2019/atc/
• Event start date: 2019-08-19
• Event end date: 2019-08-23
• DOI: 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00237
• ISBN: 978-1-7281-4034-6
• Language: English
• Keywords: FFR; privacy games; release privacy; recommender systems; privacy notions