Hands-on Machine Learning for Security
Organized by CIDRE at CentraleSupelec in Rennes on September 24, 2021
Organizers: Pierre-François Gimenez and Yufei Han
Sponsored by the GDR Sécurité Informatique
Machine learning is applied successfully in various domains, including cybersecurity, where it has been used for intrusion detection, malware analysis, and attack comprehension, for example. Therefore, many cybersecurity researchers seek to catch up and introduce such techniques in their research. This day aims to provide the basics of machine learning for cybersecurity researchers with a practical focus. No knowledge of machine learning is required!
|9:35 AM||Machine learning 101 (Pierre-François Gimenez, CIDRE, IRISA): slides, video|
|10:35 AM||Coffee break|
|10:50 AM||Practical exercises: archive with slides and dataset|
|12:30 PM||Lunch break|
|2:00 PM||Security of machine learning (Teddy Furon, Linkmedia, IRISA): slides, video|
|3:00 PM||Coffee break|
|3:15 PM||Andromak: State-of-the-art Android ML detection systems at your fingertips (Matthieu Simonin, SED, Inria): slides, video|
|3:35 PM||Obfuscation defeated: Leveraging electromagnetic signals for malware classification with Deep learning (Duy-Phuc Pham, CAPSULE, IRISA): slides, video|
|3:55 PM||Federated Learning for Intrusion Detection and Mitigation (Léo Lavaur, IMT Atlantique): slides, video|
|4:15 PM||Maritime cybersecurity: some Machine Learning contributions faced with an increasingly digital sector (Clet Boudéhenn, École Navale): slides, video|
All times are given in the CEST timezone (i.e., Rennes time).
CentraleSupelec, Rennes campus
Avenue de la Boulaie
Seminars will also be retransmitted live on Youtube but without interaction. We greatly encourage you to come in person if possible.