Nous sommes heureux de vous annoncer que le Workshop portant sur la supervision de sécurité avec de l'IA aura lieu les 19 et 20 septembre 2022, à l'espace conférences Inria.
Ce workshop est organisé dans le cadre du semestre thématique SUPSEC financé par la DGA et opéré par Inria pour les différents partenaires.
Pour en savoir plus sur SUPSEC : https://supsec.github.io
Programme préliminaire
Lundi 19 septembre
9h30 Café d'accueil
10h15 Rémi Badonnel (Loria): Comparative Assessment of Process Mining for Supporting IoT Predictive Security
11h00 Lénaïg Cornanguer (Inria): TAG: Learning Timed Automata from Logs
12h00 Déjeuner
13h30 Yufei Han (Inria): automated AI-driven pipeline for network intrusion detection & classification
14h15 Giang Nguyen (Institute of Informatics, Slovak Academy of Sciences): Deep learning for proactive network monitoring and security protection
15h00 Pause
15h15 Gregory Blanc (Telecom Sud Paris): Contributions of AI to the evaluation of intrusion detection systems
16h00 Ying Zhao (Naval Postgraduate School): [REMOTE] Integrating Human Reasoning and Machine Learning for Causal Learning Applied to Defense Applications
16h45 - 17h00 Pause café
Mardi 20 septembre
09h00 Café d'accueil
09h30 Olivier Gesny (Silicom)
10h15 Ciby (Scuba)
11h00 sekoia.io
12h00 Déjeuner
13h30 Pierre-François Gimenez (Inria) [REMOTE] Behavioral intrusion detection system based on machine learning
14h15 Amélie Raymond (Télécom-Physique - University of Strasbourg): Anomaly detection using supervised learning: from logs to images
15h00 Romain Brisse (Malizen & Inria) KRAKEN: A Knowledge-Based Recommender system for Analysts, to Kick Exploration up a Notch
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English version
We are pleased to announce the Workshop on AI for supervision which will take place in Inria Rennes (France), September 19-20, 2022.
This Workshop is organized as part of the SUPSEC thematic semester funded by the French DGA and managed by Inria for the different partners.
Learn more about SUPSEC : https://supsec.github.io
Preliminary program
September 19
9:30 Welcome/Coffee break
10:15 Rémi Badonnel (Loria): /Comparative Assessment of Process Mining for Supporting IoT Predictive Security
11:00 Lénaïg Cornanguer (Inria): /TAG: Learning Timed Automata from Logs/
12:00 Lunch
13:30 Yufei Han (Inria): /automated AI-driven pipeline for network intrusion detection & classification/
14:15 Giang Nguyen (Institute of Informatics, Slovak Academy of Sciences): /Deep learning for proactive network monitoring and security protection/
15:00 Short 15mn break
15:15 Gregory Blanc (Telecom Sud Paris): /Contributions of AI to the evaluation of intrusion detection systems/
16:00 Ying Zhao (Naval Postgraduate School): [REMOTE] /Integrating Human Reasoning and Machine Learning for Causal Learning Applied to Defense Applications/
16:45 - 17:00 Coffee break
September 20th
09:00 Welcome coffee
09:30 Olivier Gesny (Silicom)
10:15 Ciby (Scuba)
11:00 sekoia.io
12:00 Lunch
13:30 Pierre-François Gimenez (Inria) [REMOTE] /Behavioral intrusion detection system based on machine learning/
14:15 Amélie Raymond (Télécom-Physique - University of Strasbourg): /Anomaly detection using supervised learning: from logs to images/
15:00 Romain Brisse (Malizen & Inria) /KRAKEN: A Knowledge-Based Recommender system for Analysts, to Kick Exploration up a Notch/
Registration (free but mandatory)
By email to lydie [*] mabilinria [*] fr before September 2nd
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