Local differentially private frequency estimation based on learned sketches

Author:

Zhang MeifanORCID,Lin Sixin,Yin LihuaORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference46 articles.

1. k-anonymity: a model for protecting privacy;Sweeney;Int. J. Uncertain. Fuzziness Knowl.-Based Syst.,2002

2. Differential privacy: a survey of results;Dwork,2008

3. What can we learn privately?;Kasiviswanathan;SIAM J. Comput.,2011

4. Location privacy challenges in mobile edge computing: classification and exploration;Tian;IEEE Netw.,2020

5. LocJury: an IBN-based location privacy preserving scheme for IoCV;Wang;IEEE Trans. Intell. Transp. Syst.,2020

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