{"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\/da\/2023\/07\/ai-image-detectors-can-be-tricked-by-adding-texture-to-images\/","title":{"rendered":"AI-billeddetektorer kan snydes ved at tilf\u00f8je tekstur til billeder"},"content":{"rendered":"

Nogle af de bedste AI-billeddetektorer kan narres ved at tilf\u00f8je tekstur til billedet eller ved at forringe billedet en smule.<\/strong> <\/span><\/p>\n

Selv om AI-genererede billeder ikke har eksisteret ret l\u00e6nge, ved vi godt, at vi ikke skal stole p\u00e5 vores \u00f8jne. Men det viser sig, at vi ikke engang kan stole p\u00e5 de maskiner, der skal fort\u00e6lle os, om et billede er \u00e6gte eller falsk.<\/span><\/p>\n

Et nyligt eksperiment <\/span>rapporteret af New York Times<\/span><\/a> fandt ud af, at for det meste AI-billeddetektorer som <\/span>Bikube<\/span><\/a> eller Umm-maybe var i stand til at klassificere AI-genererede billeder korrekt. Lige indtil de tilf\u00f8jede korn til billedet.<\/span><\/p>\n

N\u00e5r de forringede billederne ved at tilf\u00f8je en lille m\u00e6ngde korn eller pixeleret st\u00f8j, var detektorerne for det meste overbeviste om, at de AI-genererede billeder var \u00e6gte. I et tilf\u00e6lde blev et sort-hvidt billede af en mand f\u00f8rst korrekt vurderet til at have en 99% sandsynlighed for at v\u00e6re AI-genereret. Ved at tilf\u00f8je en lille smule korn faldt sandsynligheden pludselig til 3,3%, hvilket i bund og grund bet\u00f8d, at billedet n\u00e6sten helt sikkert var \u00e6gte.<\/span><\/p>\n

N\u00e5r falske billeder af paven i en Balenciaga-puffer narrer nogle mennesker, er det harml\u00f8s sjov. Men n\u00e5r AI-genererede billeder bruges til valg og ikke kan identificeres som falske, kan konsekvenserne v\u00e6re mere alvorlige.<\/span><\/p>\n

Ron DeSantis blev for nylig kritiseret for at bruge AI-genererede billeder i sin kampagne. Hans kampagne blandede 3 virkelige billeder af Trump med 3 AI-genererede billeder af Trump, der omfavner og kysser Dr. Anthony Fauci. <\/span>Agence France-Press<\/span><\/a> var den f\u00f8rste til at p\u00e5pege forfalskningerne.<\/span><\/p>\n

Hvis du er bare nogenlunde bekendt med Trumps politik, har du ikke brug for software til at fort\u00e6lle dig, at et foto af ham, der kysser Fauci, er falsk. Men AI-billeddetektorer bruger ikke konteksten eller motivet til at afg\u00f8re, om et foto er \u00e6gte eller ej. De ser p\u00e5 afsl\u00f8rende pixelm\u00f8nstre, som AI-billedgeneratorer producerer, n\u00e5r de laver et billede.<\/span><\/p>\n

Det viser sig, at hvis man tager disse h\u00f8jopl\u00f8selige billeder og forringer dem bare en smule, s\u00e5 vil selv de bedste AI-falske detektorer ofte sige, at billedet er \u00e6gte. Selv hvis man beder Midjourney om at producere et vintagefoto af d\u00e5rlig kvalitet, er det nok til at narre nogle af disse v\u00e6rkt\u00f8jer.<\/span><\/p>\n

Det er en interessant udvikling, men hvor betydningsfuld den er, er endnu uvist. Konsekvenserne i den virkelige verden af <\/span>AI-genereret misinformation<\/span><\/a> er usandsynligt, at de kan undg\u00e5s med idiotsikre detektorer. En sund dosis skepsis og uddannelse af folk om risikoen ved at stole p\u00e5 deres \u00f8jne vil sandsynligvis v\u00e6re langt mere effektivt.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Nogle af de bedste AI-billeddetektorer kan narres ved at tilf\u00f8je tekstur til billedet eller ved at forringe billedet en smule. Selv om AI-genererede billeder ikke har eksisteret ret l\u00e6nge, ved vi godt, at vi ikke skal stole p\u00e5 vores \u00f8jne. Men det viser sig, at vi ikke engang kan stole p\u00e5 de maskiner, der skal fort\u00e6lle os, om et billede er \u00e6gte eller falsk. Et nyligt eksperiment rapporteret af New York Times viste, at AI-billeddetektorer som Hive eller Umm-maybe for det meste var i stand til at klassificere AI-genererede billeder korrekt. Det vil sige, indtil de tilf\u00f8jede korn til<\/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\/da\/2023\/07\/ai-image-detectors-can-be-tricked-by-adding-texture-to-images\/\" \/>\n<meta property=\"og:locale\" content=\"da_DK\" \/>\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. 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