Francesco Paolo Caforio graduated in Cybersecurity from the University of Bari Aldo Moro, Italy, in 2020, discussing a Laurea thesis on \"Synthesis of an intrusion detection algorithm based on deep learning and reassignment of training labels\". His research activity mainly concerns Explainable Artificial Intelligence, Cybersecurity and Deep Learning.

Research Interests

Cybersecurity, Explainable Artificial Intelligence, Interpretable Machine Learning, Deep Learning, Neural Network, Computer Vision

Francesco Paolo Caforio
MSc, SW developer
Phone: +39 080 5442203
em@il: francescopaolo.caforio @ uniba.it
webpage: http://www.di.uniba.it/~caforio/





Publications Legend

Journal Articles
Book
Conference or Workshop
Editorship
Collection
Other

Publications


2022
Giuseppina Andresini, Annalisa Appice, Francesco Paolo Caforio, Donato Malerba, Gennaro Vessio:
ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection. Expert Syst. Appl. 201: 117144 (2022)
DOI: https://doi.org/10.1016/j.eswa.2022.117144


2021
Francesco Paolo Caforio, Giuseppina Andresini, Gennaro Vessio, Annalisa Appice, Donato Malerba:
Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems. DS: 385-400 (2021)
DOI: https://doi.org/10.1007/978-3-030-88942-5_30