33 citations · 40 across the 6 of their papers we have counts for
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cs.LG2024★ 4 cited
QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
Jamie Duell, Monika Seisenberger, Hsuan Fu +1
Deep Neural Networks (DNNs) stand out as one of the most prominent approaches within the Machine Learning (ML) domain. The efficacy of DNNs has surged alongside recent increases in…
cs.LG2021★ 2 cited
Adaptive Neighbourhoods for the Discovery of Adversarial Examples
Jay Morgan, Adeline Paiement, Arno Pauly +1
Deep Neural Networks (DNNs) have often supplied state-of-the-art results in pattern recognition tasks. Despite their advances, however, the existence of adversarial examples have c…