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Differentially Private Publication of Electricity Time Series Data in Smart Grids
We introduce {\em STPT (Spatio-Temporal Private Timeseries)}, a novel method for DP-compliant publication of electricity consumption data that analyzes spatio-temporal attributes and captures both micro and macro patterns by leveraging RNNs.
Holistic Survey of Privacy and Fairness in Machine Learning
Privacy and fairness are two crucial pillars of responsible Artificial Intelligence (AI) and trustworthy Machine Learning (ML).
Fair Spatial Indexing: A paradigm for Group Spatial Fairness
We propose techniques to mitigate location bias in machine learning.
Models and Mechanisms for Spatial Data Fairness
We introduce the concept of spatial data fairness to address the specific challenges of location data and spatial queries.
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