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Detecting deep-fake audio through vocal tract reconstruction: Difference between revisions
Detecting deep-fake audio through vocal tract reconstruction (edit)
Revision as of 10:15, 8 November 2022
, 1 year ago+ 31st w:USENIX Security Symposium
Juho Kunsola (talk | contribs) (+ patent application with registration number US20220036904A1 was published on Thursday 2022-02-03) |
Juho Kunsola (talk | contribs) (+ 31st w: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 in August 2020 at the [[w:USENIX]] Security Symposium. | </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. | ||