{"id":12401,"date":"2023-06-12T05:05:02","date_gmt":"2023-06-12T05:05:02","guid":{"rendered":"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/?post_type=session&#038;p=12401"},"modified":"2024-09-03T02:20:56","modified_gmt":"2024-09-03T02:20:56","slug":"commsec-breaking-fake-voice-detection-with-speaker-irrelative-features","status":"publish","type":"session","link":"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/session\/commsec-breaking-fake-voice-detection-with-speaker-irrelative-features\/","title":{"rendered":"COMMSEC: Breaking Fake Voice Detection with Speaker-Irrelative Features"},"content":{"rendered":"<p><strong><a href=\"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/materials\/D2%20COMMSEC%20-%20Breaking%20Fake%20Voice%20Detection%20with%20Speaker-Irrelative%20Features%20-%20Xin%20Liu,%20Xuan%20Hai,%20Yuan%20Tan,%20&amp;%20Song%20Li.pdf\">PRESENTATION SLIDES<\/a><\/strong><\/p>\n<p style=\"text-align: justify;\">Voice is a vital medium for transmitting information. The advancement of speech synthesis technology has resulted in high-quality synthesized voices indistinguishable from human ears. These fake voices have been widely used in natural Deepfake production and other malicious activities, raising serious concerns regarding security and privacy. To deal with this situation, there have been many studies working on detecting fake voices and reporting excellent performance. However, is the story really over?<\/p>\n<p>In this research, we propose SiFDetectCracker, a black-box adversarial attack framework based on Speaker-Irrelative Features (SiFs) against fake voice detection. We select background noise and mute parts before and after the speakers&#8217; voice as the primary attack features. Manipulating these features in synthesized speech results in the fake speech detector making erroneous judgments. Experimental results indicate that SiFDetectCracker achieved a success rate exceeding 80% in circumventing existing state-of-the-art fake voice detection systems. Furthermore, we provide an analysis elucidating why current detectors exhibit sensitivity to our adversarial attack.<\/p>\n","protected":false},"template":"","class_list":["post-12401","session","type-session","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>COMMSEC: Breaking Fake Voice Detection with Speaker-Irrelative Features - HITBSecConf2024 - Bangkok<\/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:\/\/conference.hitb.org\/hitbsecconf2024bkk\/session\/commsec-breaking-fake-voice-detection-with-speaker-irrelative-features\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"COMMSEC: Breaking Fake Voice Detection with Speaker-Irrelative Features - HITBSecConf2024 - Bangkok\" \/>\n<meta property=\"og:description\" content=\"PRESENTATION SLIDES Voice is a vital medium for transmitting information. The advancement of speech synthesis technology has resulted in high-quality synthesized voices indistinguishable from human ears. These fake voices have been widely used in natural Deepfake production and other malicious activities, raising serious concerns regarding security and privacy. To deal with this situation, there have [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/session\/commsec-breaking-fake-voice-detection-with-speaker-irrelative-features\/\" \/>\n<meta property=\"og:site_name\" content=\"HITBSecConf2024 - Bangkok\" \/>\n<meta property=\"article:modified_time\" content=\"2024-09-03T02:20:56+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/session\/commsec-breaking-fake-voice-detection-with-speaker-irrelative-features\/\",\"url\":\"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/session\/commsec-breaking-fake-voice-detection-with-speaker-irrelative-features\/\",\"name\":\"COMMSEC: Breaking Fake Voice Detection with Speaker-Irrelative Features - HITBSecConf2024 - Bangkok\",\"isPartOf\":{\"@id\":\"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/#website\"},\"datePublished\":\"2023-06-12T05:05:02+00:00\",\"dateModified\":\"2024-09-03T02:20:56+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/session\/commsec-breaking-fake-voice-detection-with-speaker-irrelative-features\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/session\/commsec-breaking-fake-voice-detection-with-speaker-irrelative-features\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/session\/commsec-breaking-fake-voice-detection-with-speaker-irrelative-features\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Session\",\"item\":\"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/session\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"COMMSEC: Breaking Fake Voice Detection with Speaker-Irrelative Features\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/#website\",\"url\":\"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/\",\"name\":\"HITBSecConf2024 - Bangkok\",\"description\":\"August 26 - 30 @ InterContinental\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"COMMSEC: Breaking Fake Voice Detection with Speaker-Irrelative Features - HITBSecConf2024 - Bangkok","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/conference.hitb.org\/hitbsecconf2024bkk\/session\/commsec-breaking-fake-voice-detection-with-speaker-irrelative-features\/","og_locale":"en_US","og_type":"article","og_title":"COMMSEC: Breaking Fake Voice Detection with Speaker-Irrelative Features - HITBSecConf2024 - Bangkok","og_description":"PRESENTATION SLIDES Voice is a vital medium for transmitting information. The advancement of speech synthesis technology has resulted in high-quality synthesized voices indistinguishable from human ears. These fake voices have been widely used in natural Deepfake production and other malicious activities, raising serious concerns regarding security and privacy. 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