1 May 2024 · We raise the problem of characterizing the optimal privacy-accuracy tradeoff by the metric geometry of the underlying space.

The privacy-utility tradeoff for metric privacy is less well-understood than for classical DP, since the achievable accuracy is strongly influenced by the ...

Differential privacy can achieve the tradeoff between privacy and utility by using privacy metric and utility metric. However, since privacy metric and utility ...

We study an information theoretic privacy mechanism design problem for two scenarios where the private data is either observable or hidden.

19 Aug 2024 · Abstract—This paper investigates the privacy funnel, a privacy- utility tradeoff problem in which mutual information quantifies.

In this paper, we propose a variant of LDP suitable for metric spaces, such as location data or energy consumption data, and we show that it provides a much ...

Synthetic data are an attractive concept to enable privacy in data sharing. A fundamental question is how similar the privacy-preserving synthetic data are ...

Metric-based analysis of visual uncertainty helps quantify these different forms and design a privacy-preserving visualization that balances these trade-offs.

The general methodology for evaluating privacy-utility tradeoff fixes a privacy requirement with the privacy parameter and tries to find an algorithm that ...

This paper studies parameterizations of privacy settings that regulate the trade-off between maximum utility, minimum privacy and minimum utility, maximum ...