{"id":457052,"date":"2024-07-29T12:15:10","date_gmt":"2024-07-29T10:15:10","guid":{"rendered":"https:\/\/www.eenewseurope.com\/?p=457052"},"modified":"2024-07-29T12:16:41","modified_gmt":"2024-07-29T10:16:41","slug":"outil-open-source-pour-lutter-contre-lia-non-digne-de-confiance","status":"publish","type":"post","link":"https:\/\/www.ecinews.fr\/fr\/outil-open-source-pour-lutter-contre-lia-non-digne-de-confiance\/","title":{"rendered":"Outil open source pour lutter contre l&rsquo;IA non digne de confiance"},"content":{"rendered":"<h3>Le gouvernement am\u00e9ricain a command\u00e9 un outil open source pour \u00e9valuer le degr\u00e9 de s\u00e9curit\u00e9 des syst\u00e8mes d&rsquo;intelligence artificielle.<\/h3>\n<p>L&rsquo;outil Dioptra teste les effets des attaques adverses sur les mod\u00e8les d&rsquo;apprentissage automatique afin d&rsquo;aider les d\u00e9veloppeurs et les clients \u00e0 s&rsquo;attaquer \u00e0 l&rsquo;IA non fiable et \u00e0 voir comment un framework r\u00e9siste \u00e0 une vari\u00e9t\u00e9 d&rsquo;attaques adverses.<\/p>\n<p>L&rsquo;une des vuln\u00e9rabilit\u00e9s d&rsquo;un syst\u00e8me d&rsquo;IA est le mod\u00e8le qui en constitue le c\u0153ur. En exposant un mod\u00e8le \u00e0 de grandes quantit\u00e9s de donn\u00e9es d&rsquo;entra\u00eenement, il apprend \u00e0 prendre des d\u00e9cisions. Mais si des adversaires empoisonnent les donn\u00e9es d&rsquo;entra\u00eenement avec des inexactitudes &#8211; par exemple, en introduisant des donn\u00e9es qui peuvent amener le mod\u00e8le \u00e0 mal identifier les panneaux d&rsquo;arr\u00eat et les panneaux de limitation de vitesse &#8211; le mod\u00e8le peut prendre des d\u00e9cisions incorrectes, potentiellement d\u00e9sastreuses.<\/p>\n<p>Le logiciel open-source Dioptra peut \u00eatre <a href=\"https:\/\/lnks.gd\/l\/eyJhbGciOiJIUzI1NiJ9.eyJidWxsZXRpbl9saW5rX2lkIjoxMTAsInVyaSI6ImJwMjpjbGljayIsInVybCI6Imh0dHBzOi8vZ2l0aHViLmNvbS91c25pc3Rnb3YvZGlvcHRyYSIsImJ1bGxldGluX2lkIjoiMjAyNDA3MjYuOTgxOTEwOTEifQ.7ZbcO1U8Egzx4SQQWYszmmhh2M_GElL1rAZ83NUAJAQ\/s\/1501993344\/br\/246436061401-l\">t\u00e9l\u00e9charg\u00e9<\/a> gratuitement sur Github afin d&rsquo;aider les entreprises \u00e0 mener des \u00e9valuations pour appr\u00e9cier les d\u00e9clarations des d\u00e9veloppeurs d&rsquo;IA sur les performances du syst\u00e8me et ainsi lutter contre l&rsquo;IA non digne de confiance.<\/p>\n<p>Dioptra fournit une API REST, qui peut \u00eatre contr\u00f4l\u00e9e via une interface web intuitive, un client Python ou toute autre biblioth\u00e8que client REST au choix de l&rsquo;utilisateur pour concevoir, g\u00e9rer, ex\u00e9cuter et suivre les exp\u00e9riences.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.eenewseurope.com\/en\/nist-warns-on-untrustworthy-ai\/\">Le NIST met en garde contre l&rsquo;IA non fiable<\/a><\/li>\n<li><a href=\"https:\/\/www.eenewseurope.com\/en\/when-ai-enters-the-maze-of-cybersecurity\/\">Quand l&rsquo;IA entre dans le labyrinthe de la cybers\u00e9curit\u00e9<\/a><\/li>\n<li><a href=\"https:\/\/www.eenewseurope.com\/en\/etsi-to-work-on-making-artificial-intelligence-secure\/\">L&rsquo;ETSI va travailler sur la s\u00e9curisation de l&rsquo;intelligence artificielle<\/a><\/li>\n<\/ul>\n<p>Le National Institute for Standards and Technology (NIST) des \u00c9tats-Unis a demand\u00e9 \u00e0 Dioptra de permettre \u00e0 l&rsquo;utilisateur de d\u00e9terminer quels types d&rsquo;attaques rendraient le mod\u00e8le moins efficace et de quantifier la r\u00e9duction des performances afin que l&rsquo;utilisateur puisse savoir \u00e0 quelle fr\u00e9quence et dans quelles circonstances le syst\u00e8me tomberait en panne. Il s&rsquo;agit d&rsquo;un \u00e9l\u00e9ment cl\u00e9 pour l&rsquo;utilisation de l&rsquo;IA dans les syst\u00e8mes de s\u00e9curit\u00e9 critiques.<\/p>\n<p>Le NIST a \u00e9galement \u00e9labor\u00e9 un profil pour identifier les risques uniques pos\u00e9s par l&rsquo;IA g\u00e9n\u00e9rative en tant qu&rsquo;autre type d&rsquo;IA non digne de confiance. Ce profil propose des actions de gestion des risques de l&rsquo;IA g\u00e9n\u00e9rative qui correspondent le mieux \u00e0 leurs objectifs et \u00e0 leurs priorit\u00e9s. Il s&rsquo;appuie sur une liste de 12 risques et d&rsquo;un peu plus de 200 mesures que les d\u00e9veloppeurs peuvent prendre pour les g\u00e9rer.<\/p>\n<p>Parmi les 12 risques, citons l&rsquo;abaissement de la barri\u00e8re d&rsquo;entr\u00e9e pour les attaques de cybers\u00e9curit\u00e9, la production de fausses informations et de d\u00e9sinformations, de discours haineux et d&rsquo;autres contenus pr\u00e9judiciables, et les syst\u00e8mes d&rsquo;IA g\u00e9n\u00e9rative qui confabulent ou \u00ab\u00a0hallucinent\u00a0\u00bb les r\u00e9sultats. Apr\u00e8s avoir d\u00e9crit chaque risque, le document pr\u00e9sente une matrice des mesures que les d\u00e9veloppeurs peuvent prendre pour les \u00e9liminer, en fonction du cadre de r\u00e9f\u00e9rence de l&rsquo;IA.<\/p>\n<p>Les nouvelles lignes directrices relatives aux pratiques de d\u00e9veloppement de logiciels s\u00e9curis\u00e9s pour l&rsquo;IA g\u00e9n\u00e9rative et les mod\u00e8les de fondation \u00e0 double usage sont con\u00e7ues pour \u00eatre utilis\u00e9es parall\u00e8lement au cadre de d\u00e9veloppement de logiciels s\u00e9curis\u00e9s (Secure Software Development Framework &#8211; SSDF). Le SSDF s&rsquo;int\u00e9resse de mani\u00e8re g\u00e9n\u00e9rale aux pratiques de codage des logiciels, et la ressource d&rsquo;accompagnement \u00e9largit le SSDF en partie pour r\u00e9pondre \u00e0 une pr\u00e9occupation majeure concernant les syst\u00e8mes d&rsquo;IA g\u00e9n\u00e9rative : Les syst\u00e8mes d&rsquo;IA non fiables peuvent \u00eatre compromis par des donn\u00e9es d&rsquo;entra\u00eenement malveillantes qui affectent n\u00e9gativement les performances du syst\u00e8me d&rsquo;IA.<\/p>\n<p>En plus de couvrir les aspects de la formation et de l&rsquo;utilisation des syst\u00e8mes d&rsquo;IA, ce document d&rsquo;orientation identifie les facteurs de risque potentiels et les strat\u00e9gies pour y rem\u00e9dier. Entre autres recommandations, il propose d&rsquo;analyser les donn\u00e9es de formation pour y d\u00e9celer des signes d&#8217;empoisonnement, de biais, d&rsquo;homog\u00e9n\u00e9it\u00e9 et de falsification.<\/p>\n<p><a href=\"https:\/\/github.com\/usnistgov\/dioptra\">github.com\/usnistgov\/dioptra<\/a><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Le gouvernement am\u00e9ricain a command\u00e9 un outil open source pour \u00e9valuer le degr\u00e9 de s\u00e9curit\u00e9 des syst\u00e8mes d&rsquo;intelligence artificielle. L&rsquo;outil Dioptra teste les effets des attaques adverses sur les mod\u00e8les d&rsquo;apprentissage automatique afin d&rsquo;aider les d\u00e9veloppeurs et les clients \u00e0 s&rsquo;attaquer \u00e0 l&rsquo;IA non fiable et \u00e0 voir comment un framework r\u00e9siste \u00e0 une vari\u00e9t\u00e9 [&hellip;]<\/p>\n","protected":false},"author":34,"featured_media":457027,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[883],"tags":[1069,2198,6677],"domains":[47],"ppma_author":[3640,1153],"class_list":["post-457052","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technologies","tag-cybersecurite","tag-ia","tag-modules-de-securite","domains-electronique-eci"],"acf":[],"yoast_head":"<title>Outil open source pour lutter contre l&#039;IA non digne de confiance ...<\/title>\n<meta name=\"description\" content=\"Le gouvernement US a 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