Matteo Boffa

PhD Student - Machine Learning and Deep Learning

PhD Scolarship: Machine Learning based solutions to manage and secure communication networks
Website: link

Matteo is a PhD student at Politecnico di Torino (PoliTO), Italy and member of the SmartData@Polito research center. He obtained the B.Sc. in Management Engineering at Politecnico di Torino in 2019 and the M.Sc. in ICT for Smart Societies at Politecnico di Torino in 2021. In his research, he applies machine and deep learning solutions to the fields of cybersecurity and networking.

Recent Publications since 2017 (3)

  1. Alessandro Baldo, Matteo Boffa, Lorenzo Cascioli, Edoardo Fadda, Chiara Lanza, Arianna Ravera (2023) The polynomial robust knapsack problem, In: EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, pages 1424-1434, ISSN: 0377-2217, Type: Journal paper
  2. M. Boffa, L. Vassio, M. Mellia, I. Drago, G. Milan, Z. B. Houidi, D. Rossi (2022) On using pretext tasks to learn representations from network logs, In: NativeNi '22: Proceedings of the 1st International Workshop on Native Network Intelligence, pages 21-26, ISBN: 9781450398879, Type: Conference
  3. Matteo Boffa, Giulia Milan, Luca Vassio, Idilio Drago, Marco Mellia, Zied Ben Houidi (2022) Towards NLP-based Processing of Honeypot Logs, In: 2022 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), pages 314-321, ISBN: 978-1-6654-9560-8, Type: Conference