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statistical-machine-learning
Probabilistic Machine Learning course lab @UNITSrobustBNNs
Code for paper "Robustness of Bayesian Neural Networks to Gradient-Based Attacks"smoothed-model-checking
Code for paper "Stochastic Variational Smoothed Model Checking", Luca Bortolussi, Francesca Cairoli, Ginevra Carbone, Paolo Pulcini (2022)redbnn
Reduced Bayesian Neural Networks are Deterministic Neural Networks with a Bayesian subset of weights. redBNN class computes a MAP estimate of the entire NN and then performs Bayesian inference on a chosen layer or block.adversarial_examples
Random Projections for improved Adversarial Robustnessadversarial-protein-sequences
Code for paper "Adversarial Attacks on Protein Language Models", Ginevra Carbone, Francesca Cuturello, Luca Bortolussi, Alberto Cazzaniga (2022).GAN-abstraction
statisticalMachineLearning
repo for the course of DSSC "Statistical Machine Learning"BayesianRelevance
Code for paper "Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks", Ginevra Carbone, Guido Sanguinetti, Luca Bortolussi, 2021Love Open Source and this site? Check out how you can help us