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UID:6401@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20210528T143000
DTEND;TZID=Europe/Paris:20210528T153000
DTSTAMP:20241120T201422Z
URL:https://www.i2m.univ-amu.fr/evenements/interplay-between-ai-and-cybers
 ecurity-robustness-and-explainability-of-machine-learning-models/
SUMMARY:Ronan Hamon (European Commission\, Joint Research Centre & LIS\, QA
 RMA\, Aix-Marseille Université): Interplay between AI and cybersecurity: 
 robustness and explainability of machine learning models
DESCRIPTION:Ronan Hamon: The increased uptake of Artificial Intelligence (A
 I) technologies in industry and society leads to a stronger reliance on 
 digital systems\, with higher potential impacts in case of cybersecurity i
 ncidents or infringements on fundamental rights. In particular\, the use o
 f machine learning techniques brings a new class of vulnerabilities that p
 ose new kinds of technical challenges. In this presentation\, I will
  focus on two specific challenges: First\, the challenge of explainability
 \, linked to the opaqueness of machine learning models\, will be discussed
  through a comparison between technical explanations and legal requirement
 s as set out in the General Data Protection Regulation. Second\, the chall
 enge of adversarial robustness will be introduced through a case study on 
 autonomous driving\, describing in particular how adversarial machine lear
 ning techniques can be leveraged to attack and deceive classification and 
 detection models.\n
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 021/03/Ronan_Hamon.jpg
CATEGORIES:Séminaire,Signal et Apprentissage
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