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Found 4 papers, 2 papers with code
M$^2$M: A general method to perform various data analysis tasks from a differentially private sketch
In this paper, we introduce the generic moment-to-moment (M$^2$M) method to perform a wide range of data exploration tasks from a single private sketch.
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data
We here present TAPAS, a toolbox of attacks to evaluate synthetic data privacy under a wide range of scenarios.
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems
We show the attacks found by QS to consistently equate or outperform, sometimes by a large margin, the best attacks from the literature.
Synthetic Data -- what, why and how?
This explainer document aims to provide an overview of the current state of the rapidly expanding work on synthetic data technologies, with a particular focus on privacy.
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