Cybersecurity and AI: The PRALab Research Experience

Maura Pintor;Giulia Orru;Davide Maiorca;Ambra Demontis;Gian Luca Marcialis;Battista Biggio;Fabio Roli
2023-01-01

Abstract

We present here the main research topics and activities on the design, security, safety, and robustness of machine learning models developed at the Pattern Recognition and Applications Laboratory (PRALab) of the University of Cagliari. Our findings have significantly contributed to identifying and characterizing the vulnerability of such models to adversarial attacks in the context of real-world applications and proposing robust techniques to make these models more reliable in security-critical scenarios.
2023
Inglese
Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023)
CEUR-WS Team, Redaktion Sun SITE
Aachen
GERMANIA
Fabrizio Falchi, et al.
2486
426
431
6
https://ceur-ws.org/Vol-3486/
https://ceur-ws.org/
Ital-IA 2023: 3rd National Conference on Artificial Intelligence
Esperti anonimi
29-30 May, 2023
Pisa, Italy
nazionale
divulgativa
Machine Learning; Adversarial Machine Learning; Biometrics; Cybersecurity
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Pintor, Maura; Orru, Giulia; Maiorca, Davide; Demontis, Ambra; Demetrio, Luca; Marcialis, GIAN LUCA; Biggio, Battista; Roli, Fabio
273
8
4.1 Contributo in Atti di convegno
open
info:eu-repo/semantics/conferencePaper
Files in This Item:
File Size Format  
79.pdf

open access

Description: proceedings, pdf
Type: versione editoriale
Size 376.29 kB
Format Adobe PDF
376.29 kB Adobe PDF View/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Questionnaire and social

Share on:
Impostazioni cookie