Francesco Crecchi

According to our database, Francesco Crecchi authored at least 7 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

FADER: Fast adversarial example rejection.

Francesco Crecchi, Marco Melis, Angelo Sotgiu, Davide Bacciu, Battista Biggio

Neurocomputing, 2022

2021

Deep Learning Safety under Non-Stationarity Assumptions.

Francesco Crecchi

PhD thesis, 2021

2020

Augmenting Recurrent Neural Networks Resilience by Dropout.

Davide Bacciu, Francesco Crecchi

IEEE Trans. Neural Networks Learn. Syst., 2020

Perplexity-free Parametric t-SNE.

Francesco Crecchi, Cyril de Bodt, Michel Verleysen, John A. Lee, Davide Bacciu

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Detecting Adversarial Examples through Nonlinear Dimensionality Reduction.

Francesco Crecchi, Davide Bacciu, Battista Biggio

CoRR, 2019

Detecting Black-box Adversarial Examples through Nonlinear Dimensionality Reduction.

Francesco Crecchi, Davide Bacciu, Battista Biggio

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2017

DropIn: Making reservoir computing neural networks robust to missing inputs by dropout.

Davide Bacciu, Francesco Crecchi, Davide Morelli

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017