CRAug 6, 2017

Differential Privacy By Sampling

arXiv:1708.01884v17 citations
Originality Synthesis-oriented
AI Analysis

This addresses privacy concerns for data analysts, but appears incremental as it builds on existing differential privacy methods.

The paper tackles the problem of privately releasing personal data by introducing the Sampling Privacy mechanism, which satisfies differential privacy.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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