Machine Learning for Cybersecurity Workshop 2020

Michael Kamp (Organiser)

Activity: Participating in or organising an event typesContribution to workshop, seminar, course

Description

The workshop follows the success of the first edition (MLCS 2019) co-located with ECML-PKDD 2019 - last year’s workshop gained strong interest with around 40 people attending, lively discussions after the talks, and a vibrant panel discussion. MLCS 2020 aims at providing researchers with a forum to exchange and discuss scientific contributions and open challenges, both theoretical and practical, related to the use of machine-learning approaches in cybersecurity. We want to foster joint work and knowledge exchange between the cybersecurity community, and researchers and practitioners from the machine learning area, and its crossing with big data, data science, and visualization. It aims to highlight the latest research trends in machine learning, privacy of data, big data, deep learning, incremental and stream Learning, and adversarial learning. In particular, it aims to promote the application of these emerging techniques to cybersecurity and measure the success of these less-traditional algorithms.

The workshop shall provide a forum for discussing novel trends and achievements in machine learning and their role in the development of secure systems, and to identify new application areas as well as open and future research problems related to the application of machine-learning in the cybersecurity field.
Period14 Sep 2020
Event typeWorkshop
LocationGhent, Belgium
Degree of RecognitionInternational