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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
John Wiley and Sons Inc
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |