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We study the problem of a user who has both public and private data, and wants to re- lease the public data, e.g. to a recommenda-.
We address this fundamental scalability challenge. We propose to generate sparse privacy-preserving mappings by recasting the problem as a sequence of linear ...
We study the problem of a user who has both public and private data, and wants to release the public data, e.g. to a recommendation service, ...
Login to save this search and receive email alerts · Search publications for: title:(SPPM: Sparse Privacy Preserving Mappings.) 0 results · No publication have ...
SPPM: Sparse Privacy Preserving Mappings. S Salamatian, N Fawaz, B Kveton, N Taft. UAI, 712-721, 2014. 7, 2014. Privacy against inference attacks for large data.
Our proto- col outsources the bulk of the computation to two non-colluding servers, using homomorphic encryption as a central tool. We pro- vide a rigorous ...
Missing: SPPM: | Show results with:SPPM:
the privacy control manager 250 provides continuous data privacy protection of general private data ... et al., "SPPM: Sparse Privacy Preserving Mappings", ...
May 12, 2019 · On one hand, the LSP stores map resources and location-related POIs, such as restaurants, hospitals, and tourist attractions, to provide users ...
Nadia Fawaz · Top subject · Top keyword · PriView: Personalized Media Consumption Meets Privacy against Inference Attacks · SPPM: sparse privacy preserving mappings.
... privacy-preserving ... Using this dictionary and a feature learning technique called Sparse Representation Coding (SRC), followed by Spatial Pyramid Mapping (SPM) ...