Mercoledì 29 gennaio alle ore 11:30
Aula Caminetto, Scuola Ingegneria
si terrà un seminario dal titolo:
"Adversarial Machine Learning"
a cura del Prof. Fabio Roli
Università di Cagliari
Abstract and short bio of the speaker.
Machine learning algorithms are widely used for cybersecurity applications, including spam, malware detection, biometric recognition. In these applications, the learning algorithm has to face intelligent and adaptive attackers who can carefully manipulate data to purposely subvert the learning process. As machine learning algorithms have not been originally designed under such premises, they have been shown to be vulnerable to well-crafted attacks, including test-time evasion and training-time poisoning attacks (also known as adversarial examples).
This talk aims to introduce the fundamentals of adversarial machine learning and some techniques to assess the vulnerability of machine learning algorithms to adversarial attacks. We report application examples including object recognition in images, biometric identity recognition, spam and malware detection.
Short bio of the speaker
Fabio Roli is a Full Professor of Computer Engineering at the University of Cagliari, Italy, and Director of the Pattern Recognition and Applications laboratory (http://pralab.diee.unica.it/). He is partner and R&D manager of the company Pluribus One that he co-founded (https://www.pluribus-one.it ). He has been doing research on the design of pattern recognition and machine learning systems for thirty years.
His current h-index is 66 according to Google Scholar (December 2019).
He has been appointed Fellow of the IEEE and Fellow of the International Association for Pattern Recognition. He was a member of NATO advisory panel for Information and Communications Security, NATO Science for Peace and Security (2008 – 2011).