{"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\/de\/2023\/07\/ai-image-detectors-can-be-tricked-by-adding-texture-to-images\/","title":{"rendered":"AI-Bilddetektoren k\u00f6nnen durch Hinzuf\u00fcgen von Texturen zu Bildern ausgetrickst werden"},"content":{"rendered":"

Einige der besten KI-Bilddetektoren lassen sich t\u00e4uschen, indem man dem Bild eine Textur hinzuf\u00fcgt oder das Bild leicht verschlechtert.<\/strong> <\/span><\/p>\n

Obwohl es KI-generierte Bilder noch nicht sehr lange gibt, wissen wir, dass wir unseren Augen nicht trauen sollten. Aber es stellt sich heraus, dass wir nicht einmal den Maschinen trauen k\u00f6nnen, die uns sagen sollen, ob ein Bild echt oder gef\u00e4lscht ist.<\/span><\/p>\n

Ein neues Experiment <\/span>berichtet die New York Times<\/span><\/a> festgestellt, dass die meisten KI-Bilddetektoren wie <\/span>Bienenstock<\/span><\/a> oder Umm-maybe waren in der Lage, KI-generierte Bilder korrekt zu klassifizieren. Das hei\u00dft, bis sie dem Bild K\u00f6rnung hinzuf\u00fcgten.<\/span><\/p>\n

Wenn sie die Bilder durch Hinzuf\u00fcgen einer kleinen Menge von K\u00f6rnung oder pixeligem Rauschen verschlechterten, waren die Detektoren meist davon \u00fcberzeugt, dass die von der KI erzeugten Bilder echt waren. In einem Fall wurde ein Schwarz-Wei\u00df-Bild eines Mannes zun\u00e4chst mit einer Wahrscheinlichkeit von 99% als KI-generiert eingestuft. Durch das Hinzuf\u00fcgen einer leichten K\u00f6rnung verringerte der Detektor diese Wahrscheinlichkeit pl\u00f6tzlich auf 3,3%, was bedeutet, dass das Bild mit ziemlicher Sicherheit echt war.<\/span><\/p>\n

Wenn gef\u00e4lschte Bilder des Papstes in einem Balenciaga-Pullover einige Leute t\u00e4uschen, ist das ein harmloser Spa\u00df. Aber wenn KI-generierte Bilder bei Wahlen verwendet werden und nicht als F\u00e4lschung erkannt werden k\u00f6nnen, k\u00f6nnten die Folgen noch schlimmer sein.<\/span><\/p>\n

Ron DeSantis wurde k\u00fcrzlich f\u00fcr die Verwendung von KI-generierten Bildern in seiner Kampagne kritisiert. Seine Kampagne hat 3 echte Bilder von Trump mit 3 KI-generierten Bildern von Trump, der Dr. Anthony Fauci umarmt und k\u00fcsst, vermischt. <\/span>Agence France-Press<\/span><\/a> war der erste, der auf die F\u00e4lschungen hinwies.<\/span><\/p>\n

Wenn Sie mit Trumps Politik auch nur ann\u00e4hernd vertraut sind, brauchen Sie keine Software, die Ihnen sagt, dass ein Foto, auf dem er Fauci k\u00fcsst, gef\u00e4lscht ist. Aber KI-Bilddetektoren verwenden nicht den Kontext oder das Thema, um zu entscheiden, ob ein Foto echt ist oder nicht. Sie sehen sich verr\u00e4terische Pixelmuster an, die KI-Bildgeneratoren bei der Erstellung eines Bildes erzeugen.<\/span><\/p>\n

Es hat sich herausgestellt, dass selbst die besten KI-F\u00e4lschungsdetektoren das Bild oft als echt einstufen, wenn man diese hochaufl\u00f6senden Bilder nur ein wenig verschlechtert. Selbst wenn man Midjourney bittet, ein Vintage-Foto von schlechter Qualit\u00e4t zu erstellen, k\u00f6nnen einige dieser Tools get\u00e4uscht werden.<\/span><\/p>\n

Das ist eine interessante Entwicklung, aber es bleibt abzuwarten, wie bedeutend sie ist. Die realen Folgen von <\/span>KI-generierte Desinformation<\/span><\/a> werden wahrscheinlich nicht durch narrensichere Detektoren vermieden werden k\u00f6nnen. Eine gesunde Portion Skepsis und die Aufkl\u00e4rung der Menschen \u00fcber die Risiken, ihren Augen zu vertrauen, sind wahrscheinlich weitaus wirksamer.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Einige der besten KI-Bilddetektoren lassen sich t\u00e4uschen, indem man dem Bild eine Textur hinzuf\u00fcgt oder das Bild leicht verschlechtert. Obwohl es KI-generierte Bilder noch nicht sehr lange gibt, wissen wir, dass wir unseren Augen nicht trauen sollten. Aber es stellt sich heraus, dass wir nicht einmal den Maschinen trauen k\u00f6nnen, die uns sagen sollen, ob ein Bild echt oder gef\u00e4lscht ist. Ein k\u00fcrzlich von der New York Times ver\u00f6ffentlichtes Experiment ergab, dass KI-Bilddetektoren wie Hive oder Umm-maybe in den meisten F\u00e4llen in der Lage waren, von KI generierte Bilder korrekt zu klassifizieren. Das hei\u00dft, bis sie den Bildern K\u00f6rnung hinzuf\u00fcgten<\/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\/de\/2023\/07\/ai-image-detectors-can-be-tricked-by-adding-texture-to-images\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\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. 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