Search Results for author:
Found 2 papers, 1 papers with code
A Melting Pot of Evolution and Learning
We survey eight recent works by our group, involving the successful blending of evolutionary algorithms with machine learning and deep learning: 1.
Foiling Explanations in Deep Neural Networks
Our novel algorithm, AttaXAI, a model-agnostic, adversarial attack on XAI algorithms, only requires access to the output logits of a classifier and to the explanation map; these weak assumptions render our approach highly useful where real-world models and data are concerned.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
