Hands-on Machine Learning for Security

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!


Time Content
9:30 AM Introduction
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
4:35 PM Conclusion

All times are given in the CEST timezone (i.e., Rennes time).


Room 153
CentraleSupelec, Rennes campus
Avenue de la Boulaie
35510 Cesson-Sévigné

Seminars will also be retransmitted live on Youtube but without interaction. We greatly encourage you to come in person if possible.

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