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04/14/2023
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice
Behavioral data generated by users' devices, ranging from emoji use to p...
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11/25/2022
M^2M: A general method to perform various data analysis tasks from a differentially private sketch
Differential privacy is the standard privacy definition for performing a...
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11/21/2022
A Framework for Auditable Synthetic Data Generation
Synthetic data has gained significant momentum thanks to sophisticated m...
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11/12/2022
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data
Personal data collected at scale promises to improve decision-making and...
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11/09/2022
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems
Although query-based systems (QBS) have become one of the main solutions...
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05/06/2022
Synthetic Data – what, why and how?
This explainer document aims to provide an overview of the current state...
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04/18/2018
When the signal is in the noise: The limits of Diffix's sticky noise
Finding a balance between privacy and utility, allowing researchers and ...
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03/23/2018