Editing Detecting deep-fake audio through vocal tract reconstruction
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<section begin=what-is-it />'''[[Detecting | <section begin=what-is-it />''''[[Who Are You (I Really Wanna Know)? Detecting Audio DeepFakes Through Vocal Tract Reconstruction]]'''' is an epic scientific work, against fake human-like voices, from the [[w:University of Florida]] in published in August 2022. | ||
The work [https://www.usenix.org/system/files/sec22fall_blue.pdf '''''Who Are You (I Really Wanna Know)? Detecting Audio DeepFakes Through Vocal Tract Reconstruction''''' at usenix.org], [https://www.usenix.org/conference/usenixsecurity22/presentation/blue presentation page], [https://www.usenix.org/system/files/sec22-blue.pdf version included in the proceedings]<ref name="University of Florida 2022"> | The work [https://www.usenix.org/system/files/sec22fall_blue.pdf '''''Who Are You (I Really Wanna Know)? Detecting Audio DeepFakes Through Vocal Tract Reconstruction''''' at usenix.org], [https://www.usenix.org/conference/usenixsecurity22/presentation/blue presentation page], [https://www.usenix.org/system/files/sec22-blue.pdf version included in the proceedings]<ref name="University of Florida 2022"> | ||
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| first8 = Patrick | | first8 = Patrick | ||
| date = August 2022 | | date = August 2022 | ||
| title = Detecting | | title = Who Are You (I Really Wanna Know)? Detecting Audio DeepFakes Through Vocal Tract Reconstruction | ||
| url = https://www.usenix.org/conference/usenixsecurity22/presentation/blue | | url = https://www.usenix.org/conference/usenixsecurity22/presentation/blue | ||
| journal = Proceedings of the 31st USENIX Security Symposium | | journal = Proceedings of the 31st USENIX Security Symposium | ||
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}} | }} | ||
</ref> and [https://www.usenix.org/system/files/sec22_slides-blue.pdf slides] from researchers of the [https://fics.institute.ufl.edu/ '''Florida Institute for Cybersecurity Research (FICS)''' at fics.institute.ufl.edu] in the [[w:University of Florida]] received funding from the [[w:Office of Naval Research]] and was presented | </ref> and [https://www.usenix.org/system/files/sec22_slides-blue.pdf slides] from researchers of the [https://fics.institute.ufl.edu/ '''Florida Institute for Cybersecurity Research (FICS)''' at fics.institute.ufl.edu] in the [[w:University of Florida]] received funding from the [[w:Office of Naval Research]] and was presented in August 2020 at the 31st [[w:USENIX]] Security Symposium. | ||
This work was done by PhD student Logan Blue, Kevin Warren, Hadi Abdullah, Cassidy Gibson, Luis Vargas, Jessica O’Dell, Kevin Butler and Professor Patrick Traynor. | This work was done by PhD student Logan Blue, Kevin Warren, Hadi Abdullah, Cassidy Gibson, Luis Vargas, Jessica O’Dell, Kevin Butler and Professor Patrick Traynor. | ||
The University of Florida Research Foundation Inc has filed for | The University of Florida Research Foundation Inc has filed for an US [https://patents.google.com/patent/US20220036904A1/en patent application titled ''''Detecting deep-fake audio through vocal tract reconstruction'''' registration number US20220036904A1 (link to patents.google.com)] with 20 claims. The patent application was published on Thursday 2022-02-03. | ||
<section end=what-is-it /> | |||
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Cheers American taxpayers and DoD for funding this breakthrough science! | Cheers American taxpayers and DoD for funding this breakthrough science! | ||
Please get this technology against the fake voices to humans to protect the humans and humanity! 🫵🏻|[[User:Juho Kunsola|Juho Kunsola]]|[[Detecting | Please get this technology against the fake voices to humans to protect the humans and humanity! 🫵🏻|[[User:Juho Kunsola|Juho Kunsola]]|[[Who Are You (I Really Wanna Know)? Detecting Audio DeepFakes Through Vocal Tract Reconstruction]]}} | ||
<section end=reaction /> | <section end=reaction /> | ||
== External links == | == External links == | ||
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[[Category:Science]] | [[Category:Science]] | ||
[[Category:Antifake]] | [[Category:Antifake]] | ||
[[Category:2022]] | [[Category:2022]] |