Forum Numerica - Augmenting Intelligence: Machines as Super Assistants for Security Experts

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How to deal effectively with security data? It's way too much for humans to handle, and, as we will see, automation has important limitations. Luckily, virtues of humans and machines are complementary: people can be genuinely creative and insightful, while computers easily sift through huge data. We discuss our vision of systems where ML complements human expertise rather than replacing it.

Matteo received his Ph.D. in Computer Science in 2008 at the University of Genoa (Italy). He worked at EURECOM (France) from 2008 to 2014. His current research is focused on the design of scalable algorithms to make sense of massive security data, and on ways to reason on trust and reputation on the Internet. Matteo's research interests touch distributed systems and security; and since joining the research group in 2014, he has investigated topics such as peer-to-peer systems, machine learning, reputation systems, distributed backup and storage, recommender systems, scheduling, and password security

https://www.nortonlifelock.com/about/corporate-profile/research-labs/matteo-dellamico