{"id":53961,"date":"2023-10-03T15:22:33","date_gmt":"2023-10-03T15:22:33","guid":{"rendered":"https:\/\/packetstormsecurity.com\/news\/view\/35080\/Researchers-Show-How-Easy-It-Is-To-Defeat-AI-Watermarks.html"},"modified":"2023-10-03T15:22:33","modified_gmt":"2023-10-03T15:22:33","slug":"researchers-show-how-easy-it-is-to-defeat-ai-watermarks","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/researchers-show-how-easy-it-is-to-defeat-ai-watermarks\/","title":{"rendered":"Researchers Show How Easy It Is To Defeat AI Watermarks"},"content":{"rendered":"<figure class=\"intro-image intro-left\"> <img decoding=\"async\" src=\"https:\/\/cdn.arstechnica.net\/wp-content\/uploads\/2023\/10\/ai-watermark-800x450.jpg\" alt=\"watermark-like image\"><figcaption class=\"caption\">\n<div class=\"caption-credit\">James Marshall\/Getty Images<\/div>\n<\/figcaption><\/figure>\n<aside id=\"social-left\" class=\"social-left\" aria-label=\"Read the comments or share this article\"> <a class=\"comment-count icon-comment-bubble-down\" href=\"https:\/\/arstechnica.com\/ai\/2023\/10\/researchers-show-how-easy-it-is-to-defeat-ai-watermarks\/?comments=1\"> <\/p>\n<h4 class=\"comment-count-before\">reader comments<\/h4>\n<p> <span class=\"comment-count-number\">102<\/span> <span class=\"visually-hidden\"> with <\/span> <\/a> <\/aside>\n<p> <!-- cache hit 20:single\/related:4c82a2fecf3a84282d952b8ed0ea4f6e --><!-- empty --><\/p>\n<p>Soheil Feizi considers himself an optimistic person. But the University of Maryland computer science professor is blunt when he sums up the current state of watermarking AI images. \u201cWe don\u2019t have any reliable watermarking at this point,\u201d he says. \u201cWe broke all of them.\u201d<\/p>\n<p>For one of the two types of AI watermarking he tested for a new study\u2014\u201clow perturbation\u201d watermarks, which are invisible to the naked eye\u2014he\u2019s even more direct: \u201cThere\u2019s no hope.\u201d<\/p>\n<figure class=\"image shortcode-img right full\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/cdn.arstechnica.net\/wp-content\/uploads\/2019\/02\/wired-logo.png\" width=\"218\" height=\"58\"><\/figure>\n<p>Feizi and his coauthors looked at how easy it is for bad actors to evade watermarking attempts. (He calls it \u201cwashing out\u201d the watermark.) In addition to demonstrating how attackers might remove watermarks, the study shows how it\u2019s possible to add watermarks to human-generated images, triggering false positives. Released online this week, the preprint paper has yet to be peer-reviewed; Feizi has been a leading figure examining how AI detection might work, so it is research worth paying attention to, even in this early stage.<\/p>\n<p>It\u2019s timely research. Watermarking has emerged as one of the more promising strategies to identify AI-generated images and text. Just as physical watermarks are embedded on paper money and stamps to prove authenticity, digital watermarks are meant to trace the origins of images and text online, helping people spot deepfaked videos and bot-authored books. With the US presidential elections on the horizon in 2024, concerns over manipulated media are high\u2014and some people are already getting fooled. Former US President Donald Trump, for instance, <a href=\"https:\/\/futurism.com\/trump-ai-voice-cloned-fake-video-anderson-cooper\">shared<\/a> a fake video of Anderson Cooper on his social platform Truth Social; Cooper\u2019s voice had been AI-cloned.<\/p>\n<aside class=\"ad_wrapper\" aria-label=\"In Content advertisement\"> <span class=\"ad_notice\">Advertisement <\/span> <\/aside>\n<p>This summer, OpenAI, Alphabet, Meta, Amazon, and several other major AI players <a href=\"https:\/\/www.wired.com\/story\/ai-watermarking-misinformation\/\">pledged<\/a> to develop watermarking technology to combat misinformation. In late August, <a href=\"https:\/\/www.wired.com\/story\/google-deepmind-demis-hassabis-chatgpt\/\">Google\u2019s DeepMind<\/a> released a beta version of its new watermarking tool, SynthID. The hope is that these tools will flag AI content as it\u2019s being generated, in the same way that physical watermarking authenticates dollars as they\u2019re being printed.<\/p>\n<p>It\u2019s a solid, straightforward strategy, but it might not be a winning one. This study is not the only work pointing to watermarking\u2019s major shortcomings. \u201cIt is well established that watermarking can be vulnerable to attack,\u201d says Hany Farid, a professor at the UC Berkeley School of Information.<\/p>\n<p>This August, researchers at the University of California, Santa Barbara and Carnegie Mellon coauthored another paper outlining similar findings, after conducting their own experimental attacks. \u201cAll invisible watermarks are vulnerable,\u201d it <a href=\"https:\/\/arxiv.org\/pdf\/2306.01953.pdf\">reads<\/a>. This newest study goes even further. While some researchers have held out hope that visible (\u201chigh perturbation\u201d) watermarks might be developed to withstand attacks, Feizi and his colleagues say that even this more promising type can be manipulated.<\/p>\n<p>The flaws in watermarking haven\u2019t dissuaded tech giants from offering it up as a solution, but people working within the AI detection space are wary. \u201cWatermarking at first sounds like a noble and promising solution, but its real-world applications fail from the onset when they can be easily faked, removed, or ignored,\u201d Ben Colman, the CEO of AI-detection startup Reality Defender, says.<\/p>\n<p>\u201cWatermarking is not effective,\u201d adds Bars Juhasz, the cofounder of Undetectable, a startup devoted to helping people evade AI detectors. \u201cEntire industries, such as ours, have sprang up to make sure that it\u2019s not effective.\u201d According to Juhasz, companies like his are already capable of offering quick watermark-removal services.<\/p>\n<aside class=\"ad_wrapper\" aria-label=\"In Content advertisement\"> <span class=\"ad_notice\">Advertisement <\/span> <\/aside>\n<p>Others do think that watermarking has a place in AI detection\u2014as long as we understand its limitations. \u201cIt is important to understand that nobody thinks that watermarking alone will be sufficient,\u201d Farid says. \u201cBut I believe robust watermarking is part of the solution.\u201d He thinks that improving upon watermarking and then using it in combination with other technologies will make it harder for bad actors to create convincing fakes.<\/p>\n<p>Some of Feizi\u2019s colleagues think watermarking has its place, too. \u201cWhether this is a blow to watermarking depends a lot on the assumptions and hopes placed in watermarking as a solution,\u201d says Yuxin Wen, a PhD student at the University of Maryland who coauthored a recent paper suggesting a new watermarking technique. For Wen and his co-authors, including computer science professor Tom Goldstein, this study is an opportunity to reexamine the expectations placed on watermarking, rather than reason to dismiss its use as one authentication tool among many.<\/p>\n<p>\u201cThere will always be sophisticated actors who are able to evade detection,\u201d Goldstein says. \u201cIt\u2019s ok to have a system that can only detect some things.\u201d He sees watermarks as a form of harm reduction, and worthwhile for catching lower-level attempts at AI fakery, even if they can\u2019t prevent high-level attacks.<\/p>\n<p>This tempering of expectations may already be happening. In its blog post announcing SynthID, DeepMind is careful to hedge its bets, <a href=\"https:\/\/www.deepmind.com\/blog\/identifying-ai-generated-images-with-synthid\">noting<\/a> that the tool \u201cisn\u2019t foolproof\u201d and \u201cisn\u2019t perfect.\u201d<\/p>\n<p>Feizi is largely skeptical that watermarking is a good use of resources for companies like Google. \u201cPerhaps we should get used to the fact that we are not going to be able to reliably flag AI-generated images,\u201d he says.<\/p>\n<p>Still, his paper is slightly sunnier in its conclusions. \u201cBased on our results, designing a robust watermark is a challenging but not necessarily impossible task,\u201d it reads.<\/p>\n<p><em>This story originally appeared on <a href=\"https:\/\/www.wired.com\/story\/artificial-intelligence-watermarking-issues\/\">wired.com<\/a>.<\/em><\/p>\n<p> READ MORE <a href=\"https:\/\/packetstormsecurity.com\/news\/view\/35080\/Researchers-Show-How-Easy-It-Is-To-Defeat-AI-Watermarks.html\">HERE<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>READ MORE HERE&#8230;<\/p>\n","protected":false},"author":2,"featured_media":53962,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"colormag_page_layout":"default_layout","footnotes":""},"categories":[60],"tags":[286],"class_list":["post-53961","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-packet-storm","tag-headlinebotnetflaw"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Researchers Show How Easy It Is To Defeat AI Watermarks 2026 | ThreatsHub Cybersecurity News<\/title>\n<meta name=\"description\" content=\"ThreatsHub Cybersecurity News | ThreatsHub.org | Cloud Security &amp; Cyber Threats Analysis Hub. 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