DANIELE ANGIONI

PhD Student

PhD program:: XXXVII
email:
building: L (Università degli Studi di Cagliari, Facoltà di Ingegneria e Architettura)
room: IAL_TB

supervisor: Battista Biggio
co-supervisor: Fabio Roli

Research: Security Issues of Machine Learning in the Real World

Daniele Angioni is a PhD candidate of the Italian national PhD programme in Artificial Intelligence, working at the PRA Lab of the University of Cagliari, Italy. He received his BSc degree in Electrical, Electronic and Computer Engineering in 2019 with mark 107/110, discussing a thesis on fake fingerprint presentation attacks on mobile devices, which was awarded the second prize in the 15th edition of the Italian competition Premio Tesi Clusit "Innovare la sicurezza delle informazioni", in 2019. In 2021 he received his MSc degree in Electronic Engineering, with honors, discussing the thesis entitled "Robust Machine Learning for Malware Detection under Concept Drift", supervisioned by Dr. Battista Biggio.
His research interests are machine learning and adversarial machine learning, with applications in computer vision and cyber security.

Research products

11573/1690350 - 2023 - AI Security and Safety: The PRALab Research Experience

Demontis, Ambra; Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Angioni, Daniele; Piras, Giorgio; Gupta, Srishti; Biggio, Battista; Roli, Fabio - 04b Atto di convegno in volume

conference: Ital-IA 2023: 3rd National Conference on Artificial Intelligence (Pisa, Italy)

book: Proceedings of the Italia Intelligenza Artificiale - Thematic Workshops co-located with the 3rd CINI National Lab AIIS Conference on Artificial Intelligence (Ital IA 2023) - ()

11573/1690355 - 2023 - Adversarial Attacks Against Uncertainty Quantification

Ledda, Emanuele; Angioni, Daniele; Piras, Giorgio; Fumera, Giorgio; Biggio, Battista; Roli, Fabio - 04b Atto di convegno in volume

conference: International Conference on Computer Vision (ICCV) Workshops, 2023 (Parigi)

book: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023 - ()

11573/1671306 - 2023 - ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches

Pintor, M.; Angioni, D.; Sotgiu, A.; Demetrio, L.; Demontis, A.; Biggio, B.; Roli, F. - 01a Articolo in rivista

paper: PATTERN RECOGNITION (Elsevier Science Limited:Oxford Fulfillment Center, PO Box 800, Kidlington Oxford OX5 1DX United Kingdom:011 44 1865 843000, 011 44 1865 843699, EMAIL: asianfo@elsevier.com, tcb@elsevier.co.UK, INTERNET: http://www.elsevier.com, http://www.elsevier.com/locate/shpsa/, Fax: 011 44 1865 843010) pp. - - issn: 0031-3203 - wos: WOS:000877037900001 (12) - scopus: 2-s2.0-85139413180 (18)

11573/1671733 - 2022 - Robust Machine Learning for Malware Detection over Time

Angioni, D.; Demetrio, L.; Pintor, M.; Biggio, B. - 04b Atto di convegno in volume

conference: 6th Italian Conference on Cybersecurity, ITASEC 2022 (Rome; Italy)

book: Proceedings of the Italian Conference on Cybersecurity (ITASEC 2022) - ()

11573/1671708 - 2021 - Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?

Casula, R.; Orr(`U), G.; Angioni, D.; Feng, X.; Marcialis, G. L.; Roli, F. - 04b Atto di convegno in volume

conference: 25th International Conference on Pattern Recognition, ICPR 2020 (Milano, Italia (virtual))

book: 2020 25th International Conference on Pattern Recognition (ICPR) - (978-1-7281-8808-9)