{"id":2204,"date":"2023-07-02T11:50:56","date_gmt":"2023-07-02T11:50:56","guid":{"rendered":"https:\/\/dailyai.com\/?p=2204"},"modified":"2023-07-03T13:56:01","modified_gmt":"2023-07-03T13:56:01","slug":"ai-image-detectors-can-be-tricked-by-adding-texture-to-images","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2023\/07\/ai-image-detectors-can-be-tricked-by-adding-texture-to-images\/","title":{"rendered":"Les d\u00e9tecteurs d'images de l'IA peuvent \u00eatre tromp\u00e9s en ajoutant de la texture aux images"},"content":{"rendered":"

Certains des meilleurs d\u00e9tecteurs d'images d'IA peuvent \u00eatre tromp\u00e9s en ajoutant une texture \u00e0 l'image ou en la d\u00e9gradant l\u00e9g\u00e8rement.<\/strong> <\/span><\/p>\n

M\u00eame si les images g\u00e9n\u00e9r\u00e9es par l'IA n'existent pas depuis tr\u00e8s longtemps, nous savons qu'il vaut mieux ne pas se fier \u00e0 nos yeux. Mais il s'av\u00e8re que nous ne pouvons m\u00eame pas faire confiance aux machines qui sont cens\u00e9es nous dire si une image est vraie ou fausse.<\/span><\/p>\n

Une exp\u00e9rience r\u00e9cente <\/span>rapport\u00e9 par le New York Times<\/span><\/a> a constat\u00e9 que, dans la plupart des cas, les d\u00e9tecteurs d'images d'IA tels que le <\/span>Ruche<\/span><\/a> ou Umm-maybe ont \u00e9t\u00e9 capables de classer correctement des images g\u00e9n\u00e9r\u00e9es par l'IA. Jusqu'\u00e0 ce qu'ils ajoutent du grain \u00e0 l'image.<\/span><\/p>\n

Lorsqu'ils ont d\u00e9grad\u00e9 les images en ajoutant une petite quantit\u00e9 de grain, ou de bruit pixellis\u00e9, les d\u00e9tecteurs ont \u00e9t\u00e9 convaincus que les images g\u00e9n\u00e9r\u00e9es par l'IA \u00e9taient r\u00e9elles. Dans un cas, une image en noir et blanc d'un homme a d'abord \u00e9t\u00e9 correctement \u00e9valu\u00e9e comme ayant une probabilit\u00e9 de 99% d'\u00eatre g\u00e9n\u00e9r\u00e9e par l'IA. En ajoutant une l\u00e9g\u00e8re quantit\u00e9 de grain, le d\u00e9tecteur a soudainement ramen\u00e9 cette probabilit\u00e9 \u00e0 3,3%, affirmant ainsi que l'image \u00e9tait presque certainement r\u00e9elle.<\/span><\/p>\n

Lorsque de fausses images du pape v\u00eatu d'une veste Balenciaga trompent certaines personnes, il s'agit d'un amusement inoffensif. Mais lorsque des images g\u00e9n\u00e9r\u00e9es par l'IA sont utilis\u00e9es lors d'\u00e9lections et ne peuvent \u00eatre identifi\u00e9es comme fausses, les cons\u00e9quences pourraient \u00eatre plus graves.<\/span><\/p>\n

Ron DeSantis a r\u00e9cemment \u00e9t\u00e9 critiqu\u00e9 pour avoir utilis\u00e9 des images g\u00e9n\u00e9r\u00e9es par l'IA dans sa campagne. Sa campagne a intercal\u00e9 trois images r\u00e9elles de Trump avec trois images g\u00e9n\u00e9r\u00e9es par l'IA de Trump embrassant le Dr Anthony Fauci. <\/span>Agence France-Press<\/span><\/a> a \u00e9t\u00e9 le premier \u00e0 mettre en \u00e9vidence les faux.<\/span><\/p>\n

Si vous connaissez ne serait-ce que vaguement la politique de Trump, vous n'avez pas besoin d'un logiciel pour savoir que la photo de lui embrassant Fauci est fausse. Mais les d\u00e9tecteurs d'images d'IA ne s'appuient pas sur le contexte ou le sujet pour d\u00e9cider si une photo est r\u00e9elle ou non. Ils examinent les motifs de pixels r\u00e9v\u00e9lateurs que les g\u00e9n\u00e9rateurs d'images d'IA produisent lors de la cr\u00e9ation d'une image.<\/span><\/p>\n

Il s'av\u00e8re que si l'on prend ces images haute r\u00e9solution et qu'on les d\u00e9grade un tout petit peu, m\u00eame les meilleurs d\u00e9tecteurs de faux de l'IA diront souvent qu'il s'agit d'une image authentique. Il suffit de demander \u00e0 Midjourney de produire une photo vintage de mauvaise qualit\u00e9 pour tromper certains de ces outils.<\/span><\/p>\n

Il s'agit d'une \u00e9volution int\u00e9ressante, mais son importance reste \u00e0 d\u00e9montrer. Les cons\u00e9quences concr\u00e8tes de la <\/span>D\u00e9sinformation g\u00e9n\u00e9r\u00e9e par l'IA<\/span><\/a> ont peu de chances d'\u00eatre \u00e9vit\u00e9es par des d\u00e9tecteurs infaillibles. Une bonne dose de scepticisme et l'\u00e9ducation des gens sur les risques de se fier \u00e0 leurs yeux seront probablement bien plus efficaces.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Certains des meilleurs d\u00e9tecteurs d'images de l'IA peuvent \u00eatre tromp\u00e9s en ajoutant une texture \u00e0 l'image ou en la d\u00e9gradant l\u00e9g\u00e8rement. M\u00eame si les images g\u00e9n\u00e9r\u00e9es par l'IA n'existent pas depuis tr\u00e8s longtemps, nous savons qu'il vaut mieux ne pas se fier \u00e0 nos yeux. Mais il s'av\u00e8re que nous ne pouvons m\u00eame pas faire confiance aux machines qui sont cens\u00e9es nous dire si une image est vraie ou fausse. Une exp\u00e9rience r\u00e9cente rapport\u00e9e par le New York Times a montr\u00e9 que, dans l'ensemble, les d\u00e9tecteurs d'images IA comme Hive ou Umm-maybe \u00e9taient capables de classer correctement les images g\u00e9n\u00e9r\u00e9es par l'IA. Jusqu'\u00e0 ce qu'ils ajoutent du grain \u00e0 l'image.<\/p>","protected":false},"author":6,"featured_media":2205,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[95,145,94,107],"class_list":["post-2204","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-images","tag-ai-risk","tag-deep-fakes","tag-generative-ai"],"yoast_head":"\nAI image detectors can be tricked by adding texture to images | 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\/07\/ai-image-detectors-can-be-tricked-by-adding-texture-to-images\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI image detectors can be tricked by adding texture to images | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Some of the best AI image detectors can be fooled by adding texture to the image or by degrading the image slightly. Even though AI-generated images haven\u2019t been around for very long we know better than to trust our eyes. But it turns out we can\u2019t even trust the machines that are supposed to tell us if an image is real or fake. A recent experiment reported by the New York Times found that for the most part AI image detectors like Hive or Umm-maybe were able to correctly classify AI-generated images. That is until they added grain to the\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/fr\/2023\/07\/ai-image-detectors-can-be-tricked-by-adding-texture-to-images\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-02T11:50:56+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-07-03T13:56:01+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/07\/Fake-AI-images-can-fool-AI-image-detectors.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"667\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Eugene van der Watt\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta 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