MACHINE LEARNING AND SECURITY
Speaker: Dott. Fabio de Gaspari.
Affiliation: Research Fellow at the department of Computer Science of Sapienza, University of Rome.
Abstract: Advancements in machine learning (ML), and in particular deep neural network, are pushing us towards an increasingly automated cyberspace. Intelligent systems are applied throughout all fields of IT and, in recent years, also to cybersecurity. Intelligent cyber defense agents promise to replace human experts in the cyber security domain, providing near instant incident response and adaptive security for the systems. However, while extremely successful, machine learning techniques are not designed to work in adversarial settings. Several works show how it is possible to hijack machine learning classifiers to evade classification or leak sensitive information. This talk discusses applications of ML to the cyberspace and the challenges of using ML techniques in adversarial settings.
Biography: Fabio De Gaspari is a researcher and lecturer (RTDA) at Sapienza University of Rome. He received his PhD in Computer Science from Sapienza University studying the security of future internet architectures under the supervision of prof. Luigi V. Mancini and Mauro Conti. Fabio's research areas include systems security and privacy, network protocol security, neural network security and intelligent autonomous defense systems.
Registration: Participation if free. However, registration is required on Eventbrite at the following link: "Machine Learning and Security".
