Differential Privacy with Bounded Priors
Differential Privacy
Privacy software
Privacy Protection
DOI:
10.1145/2810103.2813610
Publication Date:
2015-10-06T11:22:12Z
AUTHORS (4)
ABSTRACT
Differential privacy (DP) has become widely accepted as a rigorous definition of data privacy, with stronger guarantees than traditional statistical methods. However, recent studies have shown that for reasonable budgets, differential significantly affects the expected utility. Many alternative notions which aim at relaxing DP since been proposed, hope providing better tradeoff between and
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