@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<http://data.loterre.fr/ark:/67375/8LP> a owl:Ontology, skos:ConceptScheme .
<http://data.loterre.fr/ark:/67375/8LP-BKV07MF4-4>
  skos:prefLabel "problème d'apprentissage"@fr, "learning problem"@en ;
  a skos:Concept ;
  skos:narrower <http://data.loterre.fr/ark:/67375/8LP-B29QHNSZ-4> .

<http://data.loterre.fr/ark:/67375/8LP-B29QHNSZ-4>
  skos:hiddenLabel "Adversarial attack"@en, "Attaque antagoniste"@fr ;
  skos:definition "Petite perturbation humainement imperceptible de l’entrée d’un algorithme, construite pour tromper les meilleurs classifieurs d’apprentissage automatique. (Laurent Meunier, Adversarial attacks : a theoretical journey, 2022)"@fr, "A deliberate intent to mislead a machine learning or deep neural network model by introducing subtle, imperceptible interference to an input sample. This might result in the model drawing an incorrect conclusion confidently. (Based on Wang et al., Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey, 2023)"@en ;
  a skos:Concept ;
  skos:altLabel "adversarial training"@en, "attaque adverse"@fr ;
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> ;
  dc:modified "2024-10-17T14:13:29"^^xsd:dateTime ;
  skos:prefLabel "attaque antagoniste"@fr, "adversarial attack"@en ;
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-BKV07MF4-4> .