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<section begin=what-is-it /> | <section begin=what-is-it />'''[[Detecting deep-fake audio through vocal tract reconstruction]]''' is an epic scientific work, against fake human-like voices, from the [[w:University of Florida]] in published to peers in August 2022. | ||
[[File:University of Florida logo.svg|thumb|right|'''[https://www.ufl.edu/ University of Florida]''', the home of [https://fics.institute.ufl.edu/ '''Florida Institute for Cybersecurity Research (FICS)''' at fics.institute.ufl.edu], that brought us the [[Detecting deep-fake audio through vocal tract reconstruction]] system to hunt down the fake human-like voices.]] | |||
[[File:Office of Naval Research Official Logo.png|thumb|right|The [https://www.nre.navy.mil/ '''Office of Naval Research''' (ONR) at nre.navy.mil] of the USA funded this breakthrough science.]] | |||
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 = | | title = Detecting deep-fake audio 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 on 2022-08-11 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 and received an US [https://patents.google.com/patent/US20220036904A1/en patent 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. The patent application was approved on 2023-07-04 and has an adjusted expiration date of 2041-12-29.<section end=what-is-it /> | |||
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</ref> that was published Tuesday 2022-09-20 and permanently [[w:copyleft]]ed it under Creative Commons Attribution-NoDerivatives (CC-BY-ND).<section end=original-reporting /> | </ref> that was published Tuesday 2022-09-20 and permanently [[w:copyleft]]ed it under Creative Commons Attribution-NoDerivatives (CC-BY-ND).<section end=original-reporting /> | ||
<section begin=embed /> | |||
Below is an exact copy of the [https://theconversation.com/deepfake-audio-has-a-tell-researchers-use-fluid-dynamics-to-spot-artificial-imposter-voices-189104 original article] from the [https://stop-synthetic-filth.org/wp/republished/amazing-method-and-results-from-university-of-florida-scientists-in-2022-against-the-menaces-of-digital-sound-alikes-audio-deepfakes/ SSF! wordpress titled "''Amazing method and results from University of Florida scientists in 2022 against the menaces of digital sound-alikes / audio deepfakes''"]. Thank you to the original writers for having the wisdom of licensing the article under CC-BY-ND. | Below is an exact copy of the [https://theconversation.com/deepfake-audio-has-a-tell-researchers-use-fluid-dynamics-to-spot-artificial-imposter-voices-189104 original article] from the [https://stop-synthetic-filth.org/wp/republished/amazing-method-and-results-from-university-of-florida-scientists-in-2022-against-the-menaces-of-digital-sound-alikes-audio-deepfakes/ SSF! wordpress titled "''Amazing method and results from University of Florida scientists in 2022 against the menaces of digital sound-alikes / audio deepfakes''"]. Thank you to the original writers for having the wisdom of licensing the article under CC-BY-ND. | ||
{{#Widget:Iframe - Amazing method and results from University of Florida scientists in 2022 against the menaces of digital sound-alikes / audio deepfakes}} | {{#Widget:Iframe - Amazing method and results from University of Florida scientists in 2022 against the menaces of digital sound-alikes / audio deepfakes}} | ||
<section end=embed /> | |||
== Watch == | == Watch == | ||
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== Reactions == | == Reactions == | ||
<section begin=reaction /> | |||
''' [[User:Juho Kunsola|Juho]]'s reaction ''' | ''' [[User:Juho Kunsola|Juho]]'s reaction ''' | ||
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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]]|[[ | Please get this technology against the fake voices to humans to protect the humans and humanity! 🫵🏻|[[User:Juho Kunsola|Juho Kunsola]]|[[Detecting deep-fake audio through vocal tract reconstruction]]}} | ||
<section end=reaction /> | |||
== See also == | |||
* Work by Boháček and Farid ''''''[[Protecting President Zelenskyy against deep fakes]]'''''' 2022 to protect President Zelensky against [[Synthetic human-like fakes#Digital look-alikes|digital look-alike attacks]] | |||
* Further work by Boháček and Farid ''''''[[Protecting world leaders against deep fakes using facial, gestural, and vocal mannerisms]]'''''' 2022 | |||
== External links == | == External links == | ||
<section begin=external-links /> | |||
* [https://fics.institute.ufl.edu/ '''Florida Institute for Cybersecurity Research (FICS)''' at fics.institute.ufl.edu] in the University of Florida. [https://twitter.com/uf_fics @uf_fics at twitter.com] | * [https://fics.institute.ufl.edu/ '''Florida Institute for Cybersecurity Research (FICS)''' at fics.institute.ufl.edu] in the University of Florida. [https://twitter.com/uf_fics @uf_fics at twitter.com] | ||
* [https://www.usenix.org/ '''The Advanced Computing Systems Association''' at usenix.org] founded in 1975. [https://twitter.com/usenix @usenix at twitter.com] | * [https://www.usenix.org/ '''The Advanced Computing Systems Association''' at usenix.org] founded in 1975. [https://twitter.com/usenix @usenix at twitter.com] | ||
* [https://www.nre.navy.mil/ '''Office of Naval Research''' (ONR) at nre.navy.mil] in the USA. [https://twitter.com/USNavyResearch @USNavyResearch at twitter.com] | * [https://www.nre.navy.mil/ '''Office of Naval Research''' (ONR) at nre.navy.mil] in the USA. [https://twitter.com/USNavyResearch @USNavyResearch at twitter.com] | ||
<section end=external-links /> | |||
== 1st seen in == | == 1st seen in == | ||
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[[Category:Science]] | [[Category:Science]] | ||
[[Category:Antifake]] | [[Category:Antifake]] | ||
[[Category:Countermeasure]] | |||
[[Category:2022]] | [[Category:2022]] |