{"id":58009,"date":"2025-01-15T20:09:13","date_gmt":"2025-01-15T20:09:13","guid":{"rendered":"https:\/\/www.threatshub.org\/blog\/even-modest-makeup-can-thwart-facial-recognition\/"},"modified":"2025-01-15T20:09:13","modified_gmt":"2025-01-15T20:09:13","slug":"even-modest-makeup-can-thwart-facial-recognition","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/even-modest-makeup-can-thwart-facial-recognition\/","title":{"rendered":"Even modest makeup can thwart facial recognition"},"content":{"rendered":"<p>Researchers at cyber-defense contractor PeopleTec have found that facial-recognition algorithms&#8217; focus on specific areas of the face opens the door to subtler surveillance avoidance strategies.<\/p>\n<p>In a pre-print <a href=\"https:\/\/arxiv.org\/abs\/2412.13507\">paper<\/a> titled &#8220;Novel AI Camera Camouflage: Face Cloaking Without Full Disguise,&#8221; David Noever, chief scientist, and Forrest McKee, data scientist, describe their efforts to baffle face recognition systems through the minimal application of makeup and manipulation of image files.<\/p>\n<p>Noever and McKee recount various <a href=\"https:\/\/www.theregister.com\/2021\/01\/21\/lowkey_facial_recognition\/\">defenses that have been proposed<\/a> against facial recognition systems, including CV Dazzle, which creates asymmetries using high-contrast makeup, adversarial attack graphics that confuse algorithms, and <a target=\"_blank\" rel=\"nofollow noopener\" href=\"https:\/\/www.aclumich.org\/en\/im-juggalo-not-gang-member\">Juggalo<\/a> makeup, which can be used to obscure jaw and cheek detection.<\/p>\n<div aria-hidden=\"true\" class=\"adun\" data-pos=\"top\" data-raptor=\"condor\" data-xsm=\",fluid,mpu,\" data-sm=\",fluid,mpu,\" data-md=\",fluid,mpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_software\/aiml&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=2&amp;c=2Z4gZDNrreA9GPcD1zgQWkwAAAEI&amp;t=ct%3Dns%26unitnum%3D2%26raptor%3Dcondor%26pos%3Dtop%26test%3D0\" target=\"_blank\" rel=\"noopener\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_software\/aiml&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=2&amp;c=2Z4gZDNrreA9GPcD1zgQWkwAAAEI&amp;t=ct%3Dns%26unitnum%3D2%26raptor%3Dcondor%26pos%3Dtop%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<p>And of course, there are masks, which have the advantage of simplicity and tend to be reasonably effective regardless of the facial recognition algorithm being used.<\/p>\n<div aria-hidden=\"true\" class=\"adun\" data-pos=\"top\" data-raptor=\"falcon\" data-xmd=\",fluid,mpu,leaderboard,\" data-lg=\",fluid,mpu,leaderboard,\" data-xlg=\",fluid,billboard,superleaderboard,mpu,leaderboard,\" data-xxlg=\",fluid,billboard,superleaderboard,brandwidth,brandimpact,leaderboard,mpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_software\/aiml&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=4&amp;c=44Z4gZDNrreA9GPcD1zgQWkwAAAEI&amp;t=ct%3Dns%26unitnum%3D4%26raptor%3Dfalcon%26pos%3Dmid%26test%3D0\" target=\"_blank\" rel=\"noopener\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_software\/aiml&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=4&amp;c=44Z4gZDNrreA9GPcD1zgQWkwAAAEI&amp;t=ct%3Dns%26unitnum%3D426raptor%3Dfalcon%26pos%3Dmid%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<div class=\"adun_eagle_desktop_story_wrapper\">\n<div aria-hidden=\"true\" class=\"adun\" data-pos=\"mid\" data-raptor=\"eagle\" data-xxlg=\",mpu,dmpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_software\/aiml&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=3&amp;c=33Z4gZDNrreA9GPcD1zgQWkwAAAEI&amp;t=ct%3Dns%26unitnum%3D3%26raptor%3Deagle%26pos%3Dmid%26test%3D0\" target=\"_blank\" rel=\"noopener\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_software\/aiml&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=3&amp;c=33Z4gZDNrreA9GPcD1zgQWkwAAAEI&amp;t=ct%3Dns%26unitnum%3D3%26raptor%3Deagle%26pos%3Dmid%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<\/p><\/div>\n<p>But as the authors observe, these techniques draw attention.<\/p>\n<p>&#8220;While previous efforts, such as CV Dazzle, adversarial patches, and Juggalo makeup, relied on bold, high-contrast modifications to disrupt facial detection, these approaches often suffer from two critical limitations: their theatrical prominence makes them easily recognizable to human observers, and they fail to address modern face detectors trained on robust key-point models,&#8221; they write.<\/p>\n<div aria-hidden=\"true\" class=\"adun\" data-pos=\"top\" data-raptor=\"falcon\" data-xsm=\",fluid,mpu,\" data-sm=\",fluid,mpu,\" data-md=\",fluid,mpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_software\/aiml&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=4&amp;c=44Z4gZDNrreA9GPcD1zgQWkwAAAEI&amp;t=ct%3Dns%26unitnum%3D4%26raptor%3Dfalcon%26pos%3Dmid%26test%3D0\" target=\"_blank\" rel=\"noopener\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_software\/aiml&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=4&amp;c=44Z4gZDNrreA9GPcD1zgQWkwAAAEI&amp;t=ct%3Dns%26unitnum%3D426raptor%3Dfalcon%26pos%3Dmid%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<p>&#8220;In contrast, this study demonstrates that effective disruption of facial recognition can be achieved through subtle darkening of high-density key-point regions (e.g., brow lines, nose bridge, and jaw contours) without triggering the visibility issues inherent to overt disguises.&#8221;<\/p>\n<div class=\"CaptionedImage width_85\" readability=\"7\"><a href=\"https:\/\/regmedia.co.uk\/2024\/12\/19\/face_recognition_test.jpg\" target=\"_blank\" rel=\"noopener\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/regmedia.co.uk\/2024\/12\/19\/face_recognition_test.jpg?x=648&amp;y=393&amp;infer_y=1\" alt=\"Image from arXiv:2412.13507 depicting man's face with Darth Maul-style makeup\" title=\"Image from arXiv:2412.13507 depicting man's face with Darth Maul-style makeup\" height=\"393\" width=\"648\"><\/a><\/p>\n<p class=\"text_center\">Image from the pre-print depicting man&#8217;s face with Darth Maul-style makeup &#8230; Click to enlarge<\/p>\n<\/div>\n<p>The research focuses on two areas: applying minimal makeup to fool <a href=\"https:\/\/docs.opencv.org\/3.4\/db\/d28\/tutorial_cascade_classifier.html\">Haar cascade classifiers<\/a> \u2013 used for object detection in machine learning, and hiding faces in image files by manipulating the alpha transparency layer in a way that keeps faces visible to human observers but conceals them from specific reverse image search systems like BetaFaceAPI and Microsoft Bing Visual Search.<\/p>\n<p>Facial recognition, said Noever in a phone interview with <em>The Register<\/em>, represents a third-rail issue \u2013 one that poses significant risks.<\/p>\n<p>&#8220;It brings up all the best and worst parts of AI,&#8221; he said,&#8221; from bias to counting crowds, to all the useful things that can be done with traffic movement.&#8221;<\/p>\n<p>&#8220;You can systematically attack the recognition algorithm without necessarily drawing attention to yourself,&#8221; he said, adding that it provides a way around the Streisand effect \u2013 &#8220;the moment you seek anonymity, you attract it.&#8221;<\/p>\n<p>Noever isn&#8217;t taking a position on whether AI and facial recognition are good or bad \u2013 as the paper acknowledges there are beneficial and harmful uses. As far as his company is concerned, &#8220;we get a lot of technical evaluation work and so this is more like the good housekeeping seal of approval,&#8221; he explained. &#8220;How do we have confidence that this algorithm does what it says it&#8217;s going to?&#8221;<\/p>\n<p>But overall, he argues, this kind of technology needs to be viewed with caution. &#8220;You saw it with the recent <a href=\"https:\/\/www.theregister.com\/2024\/12\/10\/unitedhealthcare_shooting_camera\/\">New York street assassin<\/a> \u2013 that manhunt relied on basically everyone being involuntarily in a police lineup because of the way those images are collected from social media. It&#8217;s incredibly useful technology for good and incredibly dangerous. AI and facial recognition combined really is Pandora&#8217;s Box, so we have to be careful with it.&#8221;<\/p>\n<blockquote class=\"pullquote\" readability=\"7\">\n<p>Despite a lot of research, masks remain one of the few surefire ways of evading these systems [for now]<\/p>\n<\/blockquote>\n<p>Emily Wenger, assistant professor of electrical and computer engineering at Duke University, who has worked on anti-facial recognition projects like <a href=\"https:\/\/www.theregister.com\/2023\/02\/16\/computer_scientists_develop_new_technique\/\">Glaze<\/a> and <a href=\"https:\/\/www.theregister.com\/2020\/07\/22\/defeat_facial_recognition\/\">Fawkes<\/a>, told <em>The Register<\/em> in an email that technical defenses against facial recognition and AI face challenges.<\/p>\n<p>&#8220;Some colleagues and I wrote a <a href=\"https:\/\/arxiv.org\/pdf\/2112.04558\">paper<\/a> taxonomizing this space a few years ago,&#8221; she explained. &#8220;Our main conclusions were that: (1) methods targeting the &#8216;setup&#8217; phases of facial recognition systems, like data collection and reference database creation are underexplored; and that (2) there is a fundamental information asymmetry in this problem that puts people trying to evade these systems at a disadvantage.<\/p>\n<div aria-hidden=\"true\" class=\"adun\" id=\"story_eagle_xsm_sm_md_xmd_lg_xlg\" data-pos=\"mid\" data-raptor=\"eagle\" data-xsm=\",mpu,dmpu,\" data-sm=\",mpu,dmpu,\" data-md=\",mpu,dmpu,\" data-xmd=\",mpu,dmpu,\" data-lg=\",mpu,dmpu,\" data-xlg=\",mpu,dmpu,\"> <noscript> <a href=\"https:\/\/pubads.g.doubleclick.net\/gampad\/jump?co=1&amp;iu=\/6978\/reg_software\/aiml&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=3&amp;c=33Z4gZDNrreA9GPcD1zgQWkwAAAEI&amp;t=ct%3Dns%26unitnum%3D3%26raptor%3Deagle%26pos%3Dmid%26test%3D0\" target=\"_blank\" rel=\"noopener\"> <img decoding=\"async\" src=\"https:\/\/pubads.g.doubleclick.net\/gampad\/ad?co=1&amp;iu=\/6978\/reg_software\/aiml&amp;sz=300x50%7C300x100%7C300x250%7C300x251%7C300x252%7C300x600%7C300x601&amp;tile=3&amp;c=33Z4gZDNrreA9GPcD1zgQWkwAAAEI&amp;t=ct%3Dns%26unitnum%3D3%26raptor%3Deagle%26pos%3Dmid%26test%3D0\" alt> <\/a> <\/noscript> <\/div>\n<p>&#8220;If you don\u2019t know where the system is operating, what underlying machine learning\/AI model it uses, or whether you\u2019re part of the reference database, you\u2019re left with very few guaranteed options for evasion beyond just wearing a mask.&#8221;<\/p>\n<p>Wenger said that masks presently are practical since they&#8217;re easy to wear and have become more acceptable in the wake of the COVID-19 pandemic.<\/p>\n<p>&#8220;Despite a lot of research, masks remain one of the few surefire ways of evading these systems [for now],&#8221; she said. &#8220;However, <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11227-024-06172-z\">gait recognition<\/a> is becoming quite powerful, and it\u2019s also unclear if this will supplant face recognition. It is harder to imagine practical and effective evasion strategies against this technology.&#8221; \u00ae<\/p>\n<p> READ MORE <a href=\"https:\/\/go.theregister.com\/feed\/www.theregister.com\/2025\/01\/15\/make_up_thwart_facial_recognition\/\">HERE<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>You may not need to go full Juggalo for the sake of privacy Researchers at cyber-defense contractor PeopleTec have found that facial-recognition algorithms&#8217; focus on specific areas of the face opens the door to subtler surveillance avoidance strategies.\u2026 READ MORE HERE&#8230;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"colormag_page_layout":"default_layout","footnotes":""},"categories":[63],"tags":[],"class_list":["post-58009","post","type-post","status-publish","format-standard","hentry","category-the-register"],"yoast_head":"<!-- This site is optimized 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