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08/22/2023
A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow
We combine Kronecker products, and quantitative information flow, to giv...
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11/09/2022
Directional Privacy for Deep Learning
Differentially Private Stochastic Gradient Descent (DP-SGD) is a key met...
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10/24/2022
Explaining epsilon in differential privacy through the lens of information theory
The study of leakage measures for privacy has been a subject of intensiv...
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06/13/2022
A novel reconstruction attack on foreign-trade official statistics, with a Brazilian case study
In this paper we describe, formalize, implement, and experimentally eval...
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05/03/2022
Universal Optimality and Robust Utility Bounds for Metric Differential Privacy
We study the privacy-utility trade-off in the context of metric differen...
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04/28/2022
Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata
We present a systematic refactoring of the conventional treatment of pri...
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05/15/2021
The Laplace Mechanism has optimal utility for differential privacy over continuous queries
Differential Privacy protects individuals' data when statistical queries...
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10/19/2020
Locality Sensitive Hashing with Extended Differential Privacy
Extended differential privacy, a generalization of standard differential...
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06/28/2019
Utility-Preserving Privacy Mechanisms for Counting Queries
Differential privacy (DP) and local differential privacy (LPD) are frame...
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11/26/2018
Generalised Differential Privacy for Text Document Processing
We address the problem of how to "obfuscate" texts by removing stylistic...
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05/22/2018
