{"id":27731,"date":"2025-07-25T17:25:13","date_gmt":"2025-07-25T17:25:13","guid":{"rendered":"https:\/\/www.tun.com\/home\/?p=27731"},"modified":"2025-07-25T17:25:14","modified_gmt":"2025-07-25T17:25:14","slug":"uc-riverside-unveils-ai-tool-to-combat-fake-videos","status":"publish","type":"post","link":"https:\/\/www.tun.com\/home\/uc-riverside-unveils-ai-tool-to-combat-fake-videos\/","title":{"rendered":"UC Riverside Unveils AI Tool to Combat Fake Videos"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-uagb-blockquote uagb-block-e7eb3fc3 uagb-blockquote__skin-border uagb-blockquote__stack-img-none\"><blockquote class=\"uagb-blockquote\"><div class=\"uagb-blockquote__content\">UC Riverside researchers, in collaboration with Google, have created an AI tool named UNITE to identify manipulated videos, providing crucial defense against the growing threat of deepfakes and synthetic media.<\/div><footer><div class=\"uagb-blockquote__author-wrap uagb-blockquote__author-at-left\"><\/div><\/footer><\/blockquote><\/div>\n\n\n\n<div class=\"wp-block-group is-content-justification-space-between is-nowrap is-layout-flex wp-container-core-group-is-layout-0dfbf163 wp-block-group-is-layout-flex\"><div style=\"font-size:16px;\" class=\"has-text-align-left wp-block-post-author\"><div class=\"wp-block-post-author__content\"><p class=\"wp-block-post-author__name\">The University Network<\/p><\/div><\/div>\n\n\n<div class=\"wp-block-uagb-social-share uagb-social-share__outer-wrap uagb-social-share__layout-horizontal uagb-block-ee584a31\">\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-ec619ce7\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.facebook.com\/sharer.php?u=\" tabindex=\"0\" role=\"button\" aria-label=\"facebook\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M504 256C504 119 393 8 256 8S8 119 8 256c0 123.8 90.69 226.4 209.3 245V327.7h-63V256h63v-54.64c0-62.15 37-96.48 93.67-96.48 27.14 0 55.52 4.84 55.52 4.84v61h-31.28c-30.8 0-40.41 19.12-40.41 38.73V256h68.78l-11 71.69h-57.78V501C413.3 482.4 504 379.8 504 256z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-32d99934\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/twitter.com\/share?url=\" tabindex=\"0\" role=\"button\" aria-label=\"twitter\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\"><path d=\"M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n\n\n\n<div class=\"wp-block-uagb-social-share-child uagb-ss-repeater uagb-ss__wrapper uagb-block-1d136f14\"><span class=\"uagb-ss__link\" data-href=\"https:\/\/www.linkedin.com\/shareArticle?url=\" tabindex=\"0\" role=\"button\" aria-label=\"linkedin\"><span class=\"uagb-ss__source-wrap\"><span class=\"uagb-ss__source-icon\"><svg xmlns=\"https:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 448 512\"><path d=\"M416 32H31.9C14.3 32 0 46.5 0 64.3v383.4C0 465.5 14.3 480 31.9 480H416c17.6 0 32-14.5 32-32.3V64.3c0-17.8-14.4-32.3-32-32.3zM135.4 416H69V202.2h66.5V416zm-33.2-243c-21.3 0-38.5-17.3-38.5-38.5S80.9 96 102.2 96c21.2 0 38.5 17.3 38.5 38.5 0 21.3-17.2 38.5-38.5 38.5zm282.1 243h-66.4V312c0-24.8-.5-56.7-34.5-56.7-34.6 0-39.9 27-39.9 54.9V416h-66.4V202.2h63.7v29.2h.9c8.9-16.8 30.6-34.5 62.9-34.5 67.2 0 79.7 44.3 79.7 101.9V416z\"><\/path><\/svg><\/span><\/span><\/span><\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p>Researchers at the University of California Riverside have unveiled an innovative artificial intelligence model designed to expose fake videos.<\/p>\n\n\n\n<p>Amit Roy-Chowdhury, a professor of electrical and computer engineering, and doctoral candidate Rohit Kundu, both from UC Riverside\u2019s Marlan and Rosemary Bourns College of Engineering, collaborated with Google scientists to develop an AI model that detects video tampering \u2014 even when manipulations extend beyond face swaps and altered speech.<\/p>\n\n\n\n<p>The system, named the Universal Network for Identifying Tampered and synthetic videos (UNITE), scrutinizes entire video frames, including backgrounds and motion patterns, to detect forgeries. This comprehensive analysis positions UNITE as one of the first tools capable of identifying synthetic or doctored videos by evaluating more than just facial content.<\/p>\n\n\n\n<p>\u201cDeepfakes have evolved,\u201d Kundu said in a news release. \u201cThey\u2019re not just about face swaps anymore. People are now creating entirely fake videos \u2014 from faces to backgrounds \u2014 using powerful generative models. Our system is built to catch all of that.\u201d<\/p>\n\n\n\n<p>The development of UNITE coincides with the proliferation of text-to-video and image-to-video generation tools, which have become widely accessible online. These platforms enable individuals with moderate skills to create highly convincing fake videos, posing significant risks to individuals, institutions and even democracy itself.<\/p>\n\n\n\n<p>\u201cIt\u2019s scary how accessible these tools have become,\u201d Kundu added. \u201cAnyone with moderate skills can bypass safety filters and generate realistic videos of public figures saying things they never said.\u201d<\/p>\n\n\n\n<p>Kundu noted that earlier deepfake detectors primarily focused on facial cues, making them ineffective against videos without faces.<\/p>\n\n\n\n<p> \u201cIf there\u2019s no face in the frame, many detectors simply don\u2019t work,\u201d he explained. \u201cBut disinformation can come in many forms. Altering a scene\u2019s background can distort the truth just as easily.\u201d<\/p>\n\n\n\n<p>To tackle this challenge, UNITE employs a transformer-based deep learning model to analyze video clips, detecting subtle spatial and temporal inconsistencies that previous systems often missed. The model leverages a foundational AI framework known as SigLIP, which extracts features independent of specific people or objects. Furthermore, a novel training technique, known as &#8220;attention-diversity loss,&#8221;  encourages the system to distribute its attention across multiple visual regions within each frame, preventing it from excessively concentrating on facial features. <\/p>\n\n\n\n<p>These innovations resulted in a universal detector capable of identifying diverse types of forgeries, ranging from straightforward facial swaps to intricate, entirely synthetic videos created without any genuine source footage.<\/p>\n\n\n\n<p>\u201cIt\u2019s one model that handles all these scenarios,\u201d Kundu added. \u201cThat\u2019s what makes it universal.\u201d<\/p>\n\n\n\n<p>The researchers presented their findings at the esteemed 2025 Conference on Computer Vision and Pattern Recognition (CVPR) in Nashville, Tenn. Their <a href=\"https:\/\/arxiv.org\/pdf\/2412.12278\" target=\"_blank\" rel=\"noopener\" title=\"\">paper<\/a> outlines UNITE\u2019s architecture and training methodology. <\/p>\n\n\n\n<p>Kundu\u2019s internship at Google facilitated access to extensive datasets and computing resources necessary to train the model on various forms of synthetic content, including videos generated from text or still images \u2014 formats that often confound existing detectors.<\/p>\n\n\n\n<p>Although UNITE is still in development, it holds the potential to play a critical role in combating video disinformation. Potential users include social media platforms, fact-checkers and newsrooms dedicated to preventing manipulated videos from going viral.<\/p>\n\n\n\n<p>\u201cPeople deserve to know whether what they\u2019re seeing is real,\u201d Kundu said. \u201cAnd as AI gets better at faking reality, we have to get better at revealing the truth.\u201d<\/p>\n\n\n\n<div style=\"height:13px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Source:<\/strong> <a href=\"https:\/\/news.ucr.edu\/articles\/2025\/07\/18\/uc-riverside-scientists-develop-tool-detect-fake-videos\" target=\"_blank\" rel=\"noopener\" title=\"\">University of California, Riverside<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Researchers at the University of California Riverside have unveiled an innovative artificial intelligence model designed to expose fake videos. Amit Roy-Chowdhury, a professor of electrical and computer engineering, and doctoral candidate Rohit Kundu, both from UC Riverside\u2019s Marlan and Rosemary Bourns College of Engineering, collaborated with Google scientists to develop an AI model that detects [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"single-no-separators","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[8],"tags":[207],"class_list":["post-27731","post","type-post","status-publish","format-standard","hentry","category-ai","tag-uc-riverside"],"acf":[],"aioseo_notices":[],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"The University Network","author_link":"https:\/\/www.tun.com\/home\/author\/funky_junkie\/"},"uagb_comment_info":0,"uagb_excerpt":"Researchers at the University of California Riverside have unveiled an innovative artificial intelligence model designed to expose fake videos. Amit Roy-Chowdhury, a professor of electrical and computer engineering, and doctoral candidate Rohit Kundu, both from UC Riverside\u2019s Marlan and Rosemary Bourns College of Engineering, collaborated with Google scientists to develop an AI model that detects&hellip;","_links":{"self":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/27731","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/comments?post=27731"}],"version-history":[{"count":8,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/27731\/revisions"}],"predecessor-version":[{"id":27742,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/posts\/27731\/revisions\/27742"}],"wp:attachment":[{"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/media?parent=27731"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/categories?post=27731"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tun.com\/home\/wp-json\/wp\/v2\/tags?post=27731"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}