{"id":6731,"date":"2023-10-24T13:31:02","date_gmt":"2023-10-24T13:31:02","guid":{"rendered":"https:\/\/dailyai.com\/?p=6731"},"modified":"2023-10-24T13:31:02","modified_gmt":"2023-10-24T13:31:02","slug":"data-poisoning-tool-helps-artists-punish-ai-scrapers","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2023\/10\/data-poisoning-tool-helps-artists-punish-ai-scrapers\/","title":{"rendered":"Un outil d'empoisonnement des donn\u00e9es permet aux artistes de punir les \"scrapers\" d'IA"},"content":{"rendered":"

Des chercheurs de l'universit\u00e9 de Chicago ont mis au point un nouvel outil pour \"empoisonner\" les mod\u00e8les d'IA lorsque les entreprises d'IA int\u00e8grent des images dans leurs ensembles de donn\u00e9es sans leur consentement.<\/strong><\/p>\n

Des entreprises comme OpenAI et Meta ont \u00e9t\u00e9 critiqu\u00e9es et poursuivies en justice pour leur utilisation massive de contenus en ligne afin d'entra\u00eener leurs mod\u00e8les. Pour que des g\u00e9n\u00e9rateurs texte-image comme DALL-E ou Midjourney soient efficaces, ils doivent \u00eatre entra\u00een\u00e9s sur de grandes quantit\u00e9s de donn\u00e9es visuelles.<\/p>\n

Un certain nombre de artistes<\/a> se sont plaints du fait que ces g\u00e9n\u00e9rateurs d'images sont d\u00e9sormais en mesure de produire des images dans leur style apr\u00e8s avoir r\u00e9cup\u00e9r\u00e9 leurs \u0153uvres sans leur consentement.<\/p>\n

Les les chercheurs ont cr\u00e9\u00e9 Nightshad<\/a>e, un outil qui incorpore des pixels invisibles dans une image et la rend ensuite \"toxique\" pour les mod\u00e8les d'intelligence artificielle.<\/p>\n

L'IA g\u00e9n\u00e9rative repose sur des donn\u00e9es correctement \u00e9tiquet\u00e9es. Si un mod\u00e8le d'IA est entra\u00een\u00e9 sur des milliers d'images de chats et que ces images sont toutes \u00e9tiquet\u00e9es \"chat\", il sait \u00e0 quoi doit ressembler un chat lorsque vous lui demandez d'en g\u00e9n\u00e9rer une image.<\/p>\n

Nightshade incorpore des donn\u00e9es dans l'image qui corrompent la classification de l'image. Ainsi, l'image d'un ch\u00e2teau empoisonn\u00e9 par Nightshade serait class\u00e9e comme un vieux camion, par exemple. Les chercheurs ont constat\u00e9 que l'utilisation d'une centaine d'images ciblant une seule invite permettait de corrompre un mod\u00e8le.<\/p>\n

\"\"
Les images g\u00e9n\u00e9r\u00e9es sont de plus en plus corrompues par des donn\u00e9es empoisonn\u00e9es. Source : arXiv<\/a><\/figcaption><\/figure>\n

Nightshade est une mauvaise nouvelle pour les g\u00e9n\u00e9rateurs d'images d'IA<\/h2>\n

Un mod\u00e8le affect\u00e9 par des donn\u00e9es empoisonn\u00e9es pourrait \u00eatre amen\u00e9 \u00e0 penser que des images de g\u00e2teaux sont des chapeaux, ou que des grille-pains sont des sacs \u00e0 main. En plus de corrompre le mot sp\u00e9cifique cibl\u00e9 par Nightshade, la corruption infecte \u00e9galement des concepts plus larges. Ainsi, la corruption de l'\u00e9tiquette \"chien\" s'\u00e9tendrait \u00e9galement \u00e0 des termes tels que \"chiot\".<\/p>\n

Si un nombre suffisant d'artistes commencent \u00e0 utiliser Nightshade, les entreprises pourraient \u00eatre beaucoup plus attentives \u00e0 obtenir le consentement de leurs clients avant de s'emparer d'images.<\/p>\n

L'\u00e9quipe de recherche incorporera Nightshade dans l'outil Glaze qu'elle a \u00e9galement d\u00e9velopp\u00e9. Glaze permet d'\u00e9tiqueter de mani\u00e8re erron\u00e9e le style d'une image. Par exemple, un artiste qui souhaite prot\u00e9ger le style de son \u0153uvre peut utiliser Glaze pour la qualifier d'\"impressionniste\" alors qu'il s'agit en fait de \"pop art\".<\/p>\n

Le fait que des outils tels que Nightshade fonctionnent si efficacement met en \u00e9vidence un probl\u00e8me de sant\u00e9 publique. vuln\u00e9rabilit\u00e9<\/a> dans les g\u00e9n\u00e9rateurs de texte-image qui pourraient \u00eatre exploit\u00e9s par des acteurs malveillants.<\/p>\n

Des entreprises telles que OpenAI et Stability AI affirment qu'elles respecteront l'accord de l'UE. Refus de la collecte de donn\u00e9es (do not scrape)<\/a> que les sites web peuvent ajouter \u00e0 leurs fichiers robots.txt. Si les images empoisonn\u00e9es par Nightshade ne sont pas scann\u00e9es, les mod\u00e8les ne sont pas affect\u00e9s.<\/p>\n

Cependant, des acteurs malveillants pourraient empoisonner une grande quantit\u00e9 d'images et les rendre disponibles pour le scraping dans l'intention d'endommager les mod\u00e8les d'IA. Le seul moyen de contourner ce probl\u00e8me est d'utiliser de meilleurs d\u00e9tecteurs d'\u00e9tiquetage ou de meilleurs syst\u00e8mes d'information. examen humain<\/a>.<\/p>\n

Nightshade permettra aux artistes de se sentir un peu plus en s\u00e9curit\u00e9 lorsqu'ils mettront leur contenu en ligne, mais pourrait causer de s\u00e9rieux probl\u00e8mes aux g\u00e9n\u00e9rateurs d'images d'IA.<\/p>","protected":false},"excerpt":{"rendered":"

Des chercheurs de l'universit\u00e9 de Chicago ont mis au point un nouvel outil pour \"empoisonner\" les mod\u00e8les d'IA lorsque des soci\u00e9t\u00e9s d'IA incluent des images dans leurs ensembles de donn\u00e9es sans leur consentement. Des soci\u00e9t\u00e9s comme OpenAI et Meta ont \u00e9t\u00e9 critiqu\u00e9es et poursuivies en justice pour leur utilisation massive de contenus en ligne afin d'entra\u00eener leurs mod\u00e8les. Pour que les g\u00e9n\u00e9rateurs texte-image tels que DALL-E ou Midjourney soient efficaces, ils doivent \u00eatre entra\u00een\u00e9s sur de grandes quantit\u00e9s de donn\u00e9es visuelles. Un certain nombre d'artistes se sont plaints du fait que ces g\u00e9n\u00e9rateurs d'images sont d\u00e9sormais capables de produire des images dans leur style apr\u00e8s avoir r\u00e9cup\u00e9r\u00e9 leurs \u0153uvres d'art sans leur consentement. Les chercheurs ont cr\u00e9\u00e9 Nightshade, un outil qui incorpore des donn\u00e9es invisibles dans les images.<\/p>","protected":false},"author":6,"featured_media":6218,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[165],"class_list":["post-6731","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-image-generation"],"yoast_head":"\nData poisoning tool helps artists punish AI scrapers | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/fr\/2023\/10\/data-poisoning-tool-helps-artists-punish-ai-scrapers\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data poisoning tool helps artists punish AI scrapers | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers from the University of Chicago developed a new tool to \u201cpoison\u201d AI models when AI companies include images in their datasets without consent. 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