Differential Privacy with Bounded Priors

Differential Privacy Privacy software Privacy Protection
DOI: 10.1145/2810103.2813610 Publication Date: 2015-10-06T11:22:12Z
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
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (22)
CITATIONS (53)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....