Synthetic human-like fakes: Difference between revisions

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=== The problems with digital look-alikes ===

These industrially produced pornographic delusions are causing great humane suffering, especially in their direct victims, but they are also tearing our communities and societies apart, sowing blind rage, perceptions of deepening chaos, feelings of powerlessness and provoke violence. This '''hate illustration''' increases and strengthens hate thinking, hate speech, hate crimes and tears our fragile social constructions apart and with time perverts humankind's view of humankind into an almost unrecognizable shape, unless we interfere with resolve.

=== List of possible naked digital look-alike attacks ===

Living people can defend<ref group="footnote" name="judiciary maybe not aware">Whether a suspect can defend against faked synthetic speech that sounds like him/her depends on how up-to-date the judiciary is. If no information and instructions about digital sound-alikes have been given to the judiciary, they likely will not believe the defense of denying that the recording is of the suspect's voice.</ref> themselves against digital sound-alike by denying the things the digital sound-alike says if they are presented to the target, but dead people cannot. Digital sound-alikes offer criminals new disinformation attack vectors and wreak havoc on provability.  

=== Documented digital sound-alike attacks ===

=== 'Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis' 2018 by Google Research (external transclusion) ===

* In the '''2018''' at the '''[[w:Conference on Neural Information Processing Systems]]''' (NeurIPS) the work [http://papers.nips.cc/paper/7700-transfer-learning-from-speaker-verification-to-multispeaker-text-to-speech-synthesis 'Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis'] ([https://arxiv.org/abs/1806.04558 at arXiv.org]) was presented. The pre-trained model is able to steal voices from a sample of only '''5 seconds''' with almost convincing results

The Iframe above is transcluded from [https://google.github.io/tacotron/publications/speaker_adaptation/ 'Audio samples from "Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis"' at google.gituhub.io], the audio samples of a sound-like-anyone machine presented as at the 2018 [[w:NeurIPS]] conference by Google researchers.

=== Digital sing-alikes ===

* '''[[w:University of Colorado Denver]]''' is the home of the [https://artsandmedia.ucdenver.edu/areas-of-study/national-center-for-media-forensics/about-the-national-center-for-media-forensics '''National Center for Media Forensics''' at artsandmedia.ucdenver.edu] at the [[w:University of Colorado Denver]] offers a [https://artsandmedia.ucdenver.edu/areas-of-study/national-center-for-media-forensics/media-forensics-graduate-program Master's degree program], [https://artsandmedia.ucdenver.edu/areas-of-study/national-center-for-media-forensics/training-courses training courses] and [https://artsandmedia.ucdenver.edu/areas-of-study/national-center-for-media-forensics/national-center-for-media-forensics-research scientific basic and applied research]. [https://artsandmedia.ucdenver.edu/areas-of-study/national-center-for-media-forensics/faculty-staff Faculty staff at the NCMF]

* '''[[w:SAG-AFTRA]]''' [https://www.sagaftra.org/action-alert-support-california-bill-end-deepfake-porn SAG-AFTRA ACTION ALERT: '''"Support California Bill to End Deepfake Porn"''' at sagaftra.org '''endorses'''] [https://leginfo.legislature.ca.gov/faces/billNavClient.xhtml?bill_id=201920200SB564 California Senate Bill SB 564] introduced to the  [[w:California State Senate]] by [[w:California]] [[w:Connie Leyva|w:Senator Connie Leyva]] in Feb '''2019'''.

=== Events against synthetic human-like fakes ===

=== Studies against synthetic human-like fakes ===

* [https://scholarship.law.duke.edu/cgi/viewcontent.cgi?article=1333&context=dltr ''''DEEPFAKES: False pornography is here and the law cannot protect you'''' at scholarship.law.duke.edu] by Douglas Harris, published in [https://scholarship.law.duke.edu/dltr/vol17/iss1/ Duke Law & Technology Review - Volume 17 on '''2019'''-01-05] by [[w:Duke University]] [[w:Duke University School of Law]]

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== Timeline  of synthetic human-like fakes ==

** [https://www.cnet.com/news/mit-releases-deepfake-video-of-nixon-announcing-nasa-apollo-11-disaster/ Cnet.com July 2020 reporting ''MIT releases deepfake video of 'Nixon' announcing NASA Apollo 11 disaster'']

=== 2010's synthetic human-like fakes ===

* '''2019''' | demonstration | In September 2019 [[w:Yle]], the Finnish [[w:public broadcasting company]], aired a result of experimental [[w:journalism]], [https://yle.fi/uutiset/3-10955498 '''a deepfake of the President in office'''] [[w:Sauli Niinistö]] in its main news broadcast for the purpose of highlighting the advancing disinformation technology and problems that arise from it.

* '''2019''' | science and demonstration | [https://arxiv.org/pdf/1905.09773.pdf ''''Speech2Face: Learning the Face Behind a Voice'''' at arXiv.org] a system for generating likely facial features based on the voice of a person, presented by the [[w:MIT Computer Science and Artificial Intelligence Laboratory]] at the 2019 [[w:Conference on Computer Vision and Pattern Recognition|w:CVPR]]. [https://github.com/saiteja-talluri/Speech2Face Speech2Face at github.com] This may develop to something that really causes problems. [https://neurohive.io/en/news/speech2face-neural-network-predicts-the-face-behind-a-voice/ "Speech2Face: Neural Network Predicts the Face Behind a Voice" reporing at neurohive.io], [https://belitsoft.com/speech-recognition-software-development/speech2face "Speech2Face Sees Voices and Hears Faces: Dreams Come True with AI" reporting at belitsoft.com]