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Andrea Patane'

2 accepted papers

2022

Individual Fairness Guarantees for Neural Networks

IJCAI 2022poster

We consider the problem of certifying the individual fairness (IF) of feed-forward neural networks (NNs). In particular, we work with the epsilon-delta-IF formulation, which, given a NN and a similarity metric learnt from data, requires that the output difference between any pair of epsilon-simila…

2020

Robustness of Bayesian Neural Networks to Gradient-Based Attacks

NeurIPS 2020poster

Vulnerability to adversarial attacks is one of the principal hurdles to the adoption of deep learning in safety-critical applications. Despite significant efforts, both practical and theoretical, the problem remains open. In this paper, we analyse the geometry of adversarial attacks in the large-dat…