Professor at University of Cagliari
Giorgio Giacinto is a Professor of Computer Engineering at the University of Cagliari, Italy, where he serves as the coordinator of the MSc degree in Computer Engineering, Cybersecurity and Artificial Intelligence. His research interests are in machine learning for malware analysis and detection, and he published more than 170 papers in international conferences and journals. He is the Editor in Chief of the “Security Engineering & Applications” section of the Journal of Cybersecurity and Privacy. He is a member of the managing committees of the Cybersecurity National Lab and the Artificial Intelligence & Intelligent Systems Lab within the CINI consortium, Italy. He also represents the Cybersecurity National Lab within the European Cybersecurity Organization (ECSO). He is a Fellow of the IAPR (International Association for Pattern Recognition) and a Senior Member of the IEEE Computer Society and ACM.
From Data Collection to Threat Intelligence: Secure Artificial Intelligence for Cybersecurity
The early detection of threats in cyberspace requires the collection of multiple data and pieces of evidence from multiple sources. Machine learning approaches are widely adopted for their capability of clustering and classifying events described by a large set of diverse characteristics. This lecture will explore the design choices behind developing and deploying effective and secure machine learning tools for cybersecurity. Human experience and expertise play a lead role in correctly shaping secure, robust, and explainable solutions.