Adversarial Robustness Assessment of NeuroEvolution Approaches

no code implementations • 12 Jul 2022 • Inês Valentim, Nuno Lourenço, Nuno Antunes

Similarly to manually-designed networks, our results show that when the evolved models are attacked with iterative methods, their accuracy usually drops to, or close to, zero under both distance metrics.

Adversarial Robustness Image Classification

The Impact of Data Preparation on the Fairness of Software Systems

no code implementations • 5 Oct 2019 • Inês Valentim, Nuno Lourenço, Nuno Antunes

Data preparation is key in any machine learning pipeline, but its effect on fairness is yet to be studied in detail.

Attribute BIG-bench Machine Learning +1