Daniele Angioni received in September 2019 his BSc degree in Electrical, Electronic and Computer Engineering with mark 107/110, discussing the thesis entitled "Riconoscimento di impronte falsificate da cellulare", thesis that led him to the second place in the competition Premio Tesi "Innovare la sicurezza delle informazioni" 15th edition, in 2019.
Daniele is co-author of the paper "Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?", for which he received the Best Student Paper award during the conference ICPR 2020.
Since January 2021 he works in the adversarial machine learning research group, under the supervision of Dr. Battista Biggio.
In September 2021 he received his MSc degree in Electronic Engineering, with honors, discussing the thesis entitled "Robust Machine Learning for Malware Detection under Concept Drift".
Since November 2021 he is a Ph.D. student at PRA Lab.
Research Interests: Cybersecurity, Machine Learning, Adversarial Machine Learning.
