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EURASIP Journal on Image and Video Processing free Webinar on July 21st, 2022 (12:30pm CET)

18 Juillet 2022


Catégorie : Autres événements


We hope you can join us on Thursday, July 21st at 12:30pm CET for our next 1-hour free webinar on "Adversarial Machine Learning” with Fabio Roli.

[06:30 a.m. New-York] - [12:30 p.m. Paris] - [12:30 p.m. Genova] - [7:30 p.m. Beijing]

To join the webinar, please register to receive more details on how to connect. The registration form can be found at: https://forms.gle/9JCc6NBgM1x2kZK6A

Contact: Esinu Abadjivor <esinu.abadjivor@springernature.com>

 

Abstract: Machine-learning algorithms are widely used for cybersecurity applications, including spam, malware detection, biometric recognition. In these applications, the learning algorithm must 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 towell-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.

 

Speaker Bio: Fabio Roli received his M.S. degree, with honours, and Ph.D. degree in Electronic Engineering from the University of Genoa, Italy. He was a member of the research group on Image Processing and Understanding of the University of Genoa, Italy, from 1988 to 1994. He was adjunct professor at the University of Trento, Italy, in 1993 and 1994. In 1995, he joined the Dept. of Electrical and Electronic Engineering of the University of Cagliari, Italy, where he is now professor of computer engineering and Director of the PRA Lab. Dr Roli’s research activity is focused on the design of pattern recognition systems and their applications to biometric personal identification, multimedia text categorization, and computer security. On these topics, he has published more than two hundred papers at conferences and on journals. He was a very active organizer of international conferences and workshops, and established the popular workshop series on multiple classifier systems (www.diee.unica.it/mcs). He is a member of the governing boards of the International Association for Pattern Recognition and of the IEEE Systems, Man and Cybernetics Society. He is Fellow of the IEEE, and Fellow of the International Association for Pattern Recognition.