9 citations · 12 across the 5 of their papers we have counts for
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cs.LG2023
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification
Arpit Merchant, Carlos Castillo
Graph neural networks (GNNs) are increasingly used in critical human applications for predicting node labels in attributed graphs. Their ability to aggregate features from nodes' n…
cs.LG2020
Poisoning Attacks on Algorithmic Fairness
David Solans, Battista Biggio, Carlos Castillo
Research in adversarial machine learning has shown how the performance of machine learning models can be seriously compromised by injecting even a small fraction of poisoning point…