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06/02/2023
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
Misclassification detection is an important problem in machine learning,...
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03/30/2022
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning
Federated Learning is expected to provide strong privacy guarantees, as ...
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03/17/2022
Leveraging Adversarial Examples to Quantify Membership Information Leakage
The use of personal data for training machine learning systems comes wit...
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02/14/2022
KNIFE: Kernelized-Neural Differential Entropy Estimation
Mutual Information (MI) has been widely used as a loss regularizer for t...
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09/11/2021
Modelling the Utility of Group Testing for Public Health Surveillance
In epidemic or pandemic situations, resources for testing the infection ...
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05/09/2021
Bounding Information Leakage in Machine Learning
Machine Learning services are being deployed in a large range of applica...
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12/06/2020
Privacy-Preserving Synthetic Smart Meters Data
Power consumption data is very useful as it allows to optimize power gri...
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02/07/2020
On the Estimation of Information Measures of Continuous Distributions
The estimation of information measures of continuous distributions based...
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04/04/2019
On Direct Distribution Matching for Adapting Segmentation Networks
Minimization of distribution matching losses is a principled approach to...
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01/03/2018