Francesco Crecchi
Francesco Crecchi
PhD student in Computer Science, University of Pisa
Verified email at di.unipi.it - Homepage
Title
Cited by
Cited by
Year
Detecting adversarial examples through nonlinear dimensionality reduction
F Crecchi, D Bacciu, B Biggio
arXiv preprint arXiv:1904.13094, 2019
112019
DropIn: Making reservoir computing neural networks robust to missing inputs by dropout
D Bacciu, F Crecchi, D Morelli
2017 International Joint Conference on Neural Networks (IJCNN), 2080-2087, 2017
82017
Augmenting recurrent neural networks resilience by dropout
D Bacciu, F Crecchi
IEEE transactions on neural networks and learning systems 31 (1), 345-351, 2019
62019
FADER: Fast Adversarial Example Rejection
F Crecchi, M Melis, A Sotgiu, D Bacciu, B Biggio
arXiv preprint arXiv:2010.09119, 2020
32020
Perplexity-free Parametric t-SNE
F Crecchi, C de Bodt, M Verleysen, JA Lee, D Bacciu
arXiv preprint arXiv:2010.01359, 2020
12020
Deep Learning Safety under Non-Stationarity Assumptions
F CRECCHI
2021
Augmenting Recurrent Neural Networks Resiliency by Dropout
F CRECCHI
2017
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