{"id":6081,"date":"2023-10-03T17:36:17","date_gmt":"2023-10-03T17:36:17","guid":{"rendered":"https:\/\/dailyai.com\/?p=6081"},"modified":"2023-10-03T17:36:17","modified_gmt":"2023-10-03T17:36:17","slug":"ai-image-watermarks-dont-work-and-probably-never-will","status":"publish","type":"post","link":"https:\/\/dailyai.com\/it\/2023\/10\/ai-image-watermarks-dont-work-and-probably-never-will\/","title":{"rendered":"I watermark delle immagini AI non funzionano e probabilmente non funzioneranno mai."},"content":{"rendered":"<p><strong>Le aziende stanno cercando di utilizzare i watermark digitali per identificare le immagini AI, ma una recente ricerca dimostra che i loro sforzi potrebbero essere vani.<\/strong><\/p>\n<p>Un team di ricercatori dell'Universit\u00e0 del Maryland ha testato le pi\u00f9 moderne tecniche di watermarking delle immagini e i risultati non sono stati buoni.<\/p>\n<p>Soheil Feizi, professore di informatica presso l'Universit\u00e0 del Maryland, ha dichiarato che il suo team ha testato tutte le tecniche di watermarking esistenti e le ha infrante tutte.<\/p>\n<p>Il <a href=\"https:\/\/arxiv.org\/abs\/2310.00076\" target=\"_blank\" rel=\"noopener\">carta di ricerca<\/a> riconosce che il watermarking sembra essere la difesa pi\u00f9 promettente contro i falsi profondi, ma poi delinea le carenze degli approcci attuali.<\/p>\n<p>I due metodi principali di watermarking sono la bassa e l'alta perturbazione.<\/p>\n<p>Il metodo a bassa perturbazione consiste nell'apportare una sottile modifica all'immagine, impercettibile all'occhio ma comunque rilevabile digitalmente. Questi metodi hanno mostrato un compromesso tra prestazioni e falsi positivi. Pi\u00f9 il metodo era bravo a identificare un falso dell'intelligenza artificiale, pi\u00f9 era probabile che identificasse erroneamente un'immagine reale come un falso.<\/p>\n<p>Un'elevata perturbazione comporta l'aggiunta di un elemento visibile all'immagine, considerato un approccio pi\u00f9 robusto. I ricercatori sono riusciti a rimuovere anche tutti questi watermark. Il loro approccio \"model substitution adversarial attack\" ha rimosso anche i watermark pi\u00f9 sottili e avanzati, quelli ad anello.<\/p>\n<p>Poich\u00e9 l'IA continua a favorire la creazione e la diffusione della disinformazione, abbiamo bisogno di un modo efficace per capire quando un'immagine o un video sono stati creati dall'IA. Tuttavia, questa ricerca conclude che una soluzione efficace appare sempre pi\u00f9 improbabile, anche se non impossibile.<\/p>\n<p>Il team di Feizi ha testato solo i watermark disponibili. Google e Meta stanno lavorando alle proprie tecnologie di filigrana, ma non sono ancora disponibili per i test.<\/p>\n<p>Tuttavia, Feizi ritiene che la sua ricerca indichi che anche le grandi aziende tecnologiche non forniranno una soluzione infallibile. A <a href=\"https:\/\/arxiv.org\/pdf\/2306.01953.pdf\" target=\"_blank\" rel=\"noopener\">pubblicato da ricercatori dell'Universit\u00e0 della California<\/a> ha concluso che \"Tutti i watermark invisibili sono vulnerabili\".<\/p>\n<p>Con il miglioramento dell'IA generativa, \u00e8 probabile che diventi sempre pi\u00f9 difficile identificare un'immagine generata dall'IA. Quindi, anche se i generatori di immagini AI commerciali come <a href=\"https:\/\/dailyai.com\/it\/2023\/08\/youtuber-reveals-leaked-images-from-openais-unreleased-dall-e-3\/\">DALL-E<\/a> o Midjourney utilizzano una filigrana efficace, ma nulla obbliga gli altri modelli a farlo.<\/p>\n<p>L'altro problema evidenziato dalla ricerca di Feizi \u00e8 che sono riusciti a introdurre filigrane AI in immagini che non erano state generate dall'AI.<\/p>\n<p>Il problema \u00e8 che, in presenza di prove fotografiche, i malintenzionati potrebbero applicarvi un watermark dell'IA nel tentativo di screditare le prove.<\/p>\n<p>Bisogner\u00e0 vedere come se la caveranno i watermark di Google e Meta contro gli attacchi brute-force del team di Feizi. Per ora, sembra che dovremo continuare a ricordare a noi stessi che vedere non significa credere.<\/p>\n<p>&nbsp;<\/p>","protected":false},"excerpt":{"rendered":"<p>Le aziende stanno cercando di utilizzare le filigrane digitali per identificare le immagini dell'intelligenza artificiale, ma una recente ricerca dimostra che i loro sforzi potrebbero essere vani. Un gruppo di ricercatori dell'Universit\u00e0 del Maryland ha testato le pi\u00f9 moderne tecniche di filigrana delle immagini e i risultati non sono stati buoni. Soheil Feizi, professore di informatica presso l'Universit\u00e0 del Maryland, ha dichiarato che il suo team ha testato tutte le tecniche di watermarking esistenti e le ha infrante tutte. Il documento di ricerca riconosce che il watermarking sembra essere la difesa pi\u00f9 promettente contro i falsi profondi, ma poi delinea le carenze degli approcci attuali. I due metodi principali di watermarking sono la bassa e l'alta perturbazione. La bassa<\/p>","protected":false},"author":6,"featured_media":6084,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[94,107,165],"class_list":["post-6081","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-deep-fakes","tag-generative-ai","tag-image-generation"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI image watermarks don\u2019t work, and probably never will | 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\/it\/2023\/10\/ai-image-watermarks-dont-work-and-probably-never-will\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI image watermarks don\u2019t work, and probably never will | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Companies are trying to use digital watermarks to identify AI images but recent research shows their efforts may be in vain. A team of researchers from the University of Maryland tested state-of-the-art image watermarking techniques and the results weren\u2019t good. Soheil Feizi, professor of computer science at the University of Maryland, said his team tested every existing watermarking technique and broke them all. The research paper acknowledges that watermarking appears to be the most promising defense against deep fakes but then outlines the deficiencies in current approaches. The two main methods of watermarking are low and high perturbation. The low\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/it\/2023\/10\/ai-image-watermarks-dont-work-and-probably-never-will\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2023-10-03T17:36:17+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/10\/deepfake-watermark.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"571\" \/>\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 name=\"twitter:label1\" content=\"Scritto da\" \/>\n\t<meta name=\"twitter:data1\" content=\"Eugene van der Watt\" \/>\n\t<meta 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