Gaussian differential privacy

In the past decade, differential privacy has seen remarkable success as a rigorous and practical formalization of data privacy. This privacy definition and its divergence based relaxations, however, have several acknowledged weaknesses, either in handling composition of private algorithms or in anal...

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Bibliographic Details
Main Authors: Dong, J. (Author), Roth, A. (Author), Su, W.J (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2022
Subjects:
Online Access:View Fulltext in Publisher