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[[File:Appearance of Queen Elizabeth II stolen by Channel 4 in Dec 2020 (screenshot at 191s).png|thumb|right|480px|In Dec 2020 Channel 4 aired a Queen-like fake i.e. they had thieved the appearance of Queen Elizabeth II using deepfake methods.]] | [[File:Appearance of Queen Elizabeth II stolen by Channel 4 in Dec 2020 (screenshot at 191s).png|thumb|right|480px|In Dec 2020 Channel 4 aired a Queen-like fake i.e. they had thieved the appearance of Queen Elizabeth II using deepfake methods.]] | ||
* '''2022''' | '''<font color="green">counter-measure</font>''' | 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] and [https://www.usenix.org/system/files/sec22_slides-blue.pdf slides] from researchers of the Florida Institute for Cybersecurity Research (FICS) 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. The scientists wrote an article on their work titled [https://theconversation.com/deepfake-audio-has-a-tell-researchers-use-fluid-dynamics-to-spot-artificial-imposter-voices-189104 '''''Deepfake audio has a tell – researchers use fluid dynamics to spot artificial imposter voices''''' at theconversation.com] that was published Tuesday 2022-09-20.<ref name="The Conversation 2022"> | * '''2022''' | '''<font color="green">counter-measure</font>''' | 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"> | ||
{{cite journal | |||
| last1 = Blue | |||
| first1 = Logan | |||
| last2 = Warren | |||
| first2 = Kevin | |||
| last3 = Abdullah | |||
| first3 = Hadi | |||
| last4 = Gibson | |||
| first4 = Cassidy | |||
| last5 = Vargas | |||
| first5 = Luis | |||
| last6 = O’Dell | |||
| first6 = Jessica | |||
| last7 = Butler | |||
| first7 = Kevin | |||
| last8 = Traynor | |||
| first8 = Patrick | |||
| date = August 2022 | |||
| title = Who Are You (I Really Wanna Know)? Detecting Audio DeepFakes Through Vocal Tract Reconstruction | |||
| url = https://www.usenix.org/conference/usenixsecurity22/presentation/blue | |||
| journal = Proceedings of the 31st USENIX Security Symposium | |||
| volume = | |||
| issue = | |||
| pages = 2691-2708 | |||
| doi = | |||
| isbn = 978-1-939133-31-1 | |||
| access-date = 2022-10-06 | |||
}} | |||
</ref> and [https://www.usenix.org/system/files/sec22_slides-blue.pdf slides] from researchers of the Florida Institute for Cybersecurity Research (FICS) 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. The scientists wrote an article on their work titled [https://theconversation.com/deepfake-audio-has-a-tell-researchers-use-fluid-dynamics-to-spot-artificial-imposter-voices-189104 '''''Deepfake audio has a tell – researchers use fluid dynamics to spot artificial imposter voices''''' at theconversation.com] that was published Tuesday 2022-09-20.<ref name="The Conversation 2022"> | |||
{{cite web | {{cite web | ||
|url=https://theconversation.com/deepfake-audio-has-a-tell-researchers-use-fluid-dynamics-to-spot-artificial-imposter-voices-189104 | |url=https://theconversation.com/deepfake-audio-has-a-tell-researchers-use-fluid-dynamics-to-spot-artificial-imposter-voices-189104 |