An Enforcement Model for Preventing Inference Attacks in Social Computing Platforms
Author:
Affiliation:
1. Nulli, Calgary, AB, Canada
2. University of Calgary, Calgary, AB, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Canada Research Chair
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3078861.3078867
Reference20 articles.
1. Seyed Hossein Ahmadinejad. 2016. A View-Based Protection Model to Prevent Inference Attacks by Third-Party Extensions to Social Computing Platforms. Ph.D. Dissertation. University of Calgary. Seyed Hossein Ahmadinejad. 2016. A View-Based Protection Model to Prevent Inference Attacks by Third-Party Extensions to Social Computing Platforms. Ph.D. Dissertation. University of Calgary.
2. On the feasibility of inference attacks by third-party extensions to social network systems
3. Unintended disclosure of information: Inference attacks by third-party extensions to Social Network Systems
4. Privacy and Utility of Inference Control Mechanisms for Social Computing Applications
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