TL;DR
This paper introduces the Sampling Privacy mechanism, a sampling-based approach that ensures differential privacy when releasing personal data, providing a new method for privacy-preserving data sharing.
Contribution
The paper proposes the Sampling Privacy mechanism, a novel sampling-based method that guarantees differential privacy for data release.
Findings
Sampling Privacy satisfies differential privacy
Effective for privacy-preserving data sharing
Provides a new approach to differential privacy
Abstract
In this paper we present the Sampling Privacy mechanism for privately releasing personal data. Sampling Privacy is a sampling based privacy mechanism that satisfies differential privacy.
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