Synthetic human-like fakes: Difference between revisions

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(→‎Countermeasures against synthetic human-like fakes: + === Reporting against synthetic human-like fakes === + ''''''Researchers use facial quirks to unmask ‘deepfakes’'''''' at news.berkeley.edu)
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<section begin=definitions-of-synthetic-human-like-fakes />
<section begin=definitions-of-synthetic-human-like-fakes />
When the '''[[Glossary#No camera|camera does not exist]]''', but the subject being imaged with a simulation of a (movie) camera deceives the watcher to believe it is some living or dead person it is a '''[[#Digital look-alikes|digital look-alike]]'''.
When the '''[[Glossary#No camera|camera does not exist]]''', but the subject being imaged with a simulation of a (movie) camera deceives the watcher to believe it is some living or dead person it is a '''[[#Digital look-alikes|digital look-alike]]'''.
les dunes de sable près de la pinède
 
When it cannot be determined by human testing or media forensics whether some fake voice is a synthetic fake of some person's voice, or is it an actual recording made of that person's actual real voice, it is a pre-recorded '''[[#Digital sound-alikes|digital sound-alike]]'''.  
When it cannot be determined by human testing or media forensics whether some fake voice is a synthetic fake of some person's voice, or is it an actual recording made of that person's actual real voice, it is a pre-recorded '''[[#Digital sound-alikes|digital sound-alike]]'''.  
<section end=definitions-of-synthetic-human-like-fakes />
<section end=definitions-of-synthetic-human-like-fakes />
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=== Events against synthetic human-like fakes ===
=== Events against synthetic human-like fakes ===


* '''ONGOING''' | '''[[w:National Institute of Standards and Technology]]''' ('''NIST''') | [https://mfc.nist.gov/ '''Open Media Forensics Challenge''' ('''OpenMFC''') at mfc.nist.gov] [https://www.nist.gov/itl/iad/mig/open-media-forensics-challenge '''Open Media Forensics Challenge''' at nist.gov] - ''Open Media Forensics Challenge Evaluation (OpenMFC) is an open evaluation series organized by the NIST to assess and measure the capability of media forensic algorithms and systems.''<ref>https://www.nist.gov/itl/iad/mig/open-media-forensics-challenge</ref>
* '''ONGOING''' | '''[[w:National Institute of Standards and Technology]]''' (NIST) | [https://www.nist.gov/itl/iad/mig/open-media-forensics-challenge '''Open Media Forensics Challenge''' at nist.gov] - ''Open Media Forensics Challenge Evaluation (OpenMFC) is an open evaluation series organized by the NIST to assess and measure the capability of media forensic algorithms and systems.''<ref>https://www.nist.gov/itl/iad/mig/open-media-forensics-challenge</ref>


* '''2021''' | '''[[w:Conference on Computer Vision and Pattern Recognition]] (CVPR)''' |  [https://sites.google.com/view/mediaforensics2021 2021 Conference on Computer Vision and Pattern Recognition:  ''''Workshop on Media Forensics'''' at sites.google.com], a '''June 2021''' workshop at the Conference on Computer Vision and Pattern Recognition.
* '''2021''' | '''[[w:Conference on Computer Vision and Pattern Recognition]] (CVPR)''' |  [https://sites.google.com/view/mediaforensics2021 2021 Conference on Computer Vision and Pattern Recognition:  ''''Workshop on Media Forensics'''' at sites.google.com], a '''June 2021''' workshop at the Conference on Computer Vision and Pattern Recognition.
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* '''2019''' | '''CVPR''' | [https://sites.google.com/view/mediaforensics2019/home '''2019''' CVPR: ''''Workshop on Media Forensics'''']
* '''2019''' | '''CVPR''' | [https://sites.google.com/view/mediaforensics2019/home '''2019''' CVPR: ''''Workshop on Media Forensics'''']


* '''2017'''-'''2020''' | '''[[w:National Institute of Standards and Technology]] (NIST)  | [https://www.nist.gov/itl/iad/mig/media-forensics-challenge NIST: 'Media Forensics Challenge'''' ('''MFC''') at nist.gov], an iterative research challenge by the [[w:National Institute of Standards and Technology]] [https://www.nist.gov/itl/iad/mig/media-forensics-challenge-2019-0 the evaluation criteria for the 2019 iteration are being formed]
* '''Annual''' (?) | '''[[w:National Institute of Standards and Technology]] (NIST)  | [https://www.nist.gov/itl/iad/mig/media-forensics-challenge NIST: 'Media Forensics Challenge'''' at nist.gov], an iterative research challenge by the [[w:National Institute of Standards and Technology]] with the ongoing challenge being the 2nd one in action. [https://www.nist.gov/itl/iad/mig/media-forensics-challenge-2019-0 the evaluation criteria for the 2019 iteration are being formed]


* '''2018''' | '''[[w:European Conference on Computer Vision|w:European Conference on Computer Vision (ECCV)]]''' [https://sites.google.com/view/wocm2018/home ECCV 2018: ''''Workshop on Objectionable Content and Misinformation'''' at sites.google.com], a workshop at the '''2018''' [[w:European Conference on Computer Vision]] in [[w:Munich]] had focus on objectionable content detection e.g. [[w:nudity]], [[w:pornography]], [[w:violence]], [[w:hate]], [[w:Child sexual abuse|w:children exploitation]] and [[w:terrorism]] among others and to address misinformation problems when people are fed [[w:disinformation]] and they punt it on as misinformation. Announced topics included [[w:Outline of forensic science|w:image/video forensics]], [[w:detection]]/[[w:analysis]]/[[w:understanding]] of [[w:Counterfeit|w:fake]] images/videos, [[w:misinformation]] detection/understanding: mono-modal and [[w:Multimodality|w:multi-modal]], adversarial technologies and detection/understanding of objectionable content
* '''2018''' | '''[[w:European Conference on Computer Vision|w:European Conference on Computer Vision (ECCV)]]''' [https://sites.google.com/view/wocm2018/home ECCV 2018: ''''Workshop on Objectionable Content and Misinformation'''' at sites.google.com], a workshop at the '''2018''' [[w:European Conference on Computer Vision]] in [[w:Munich]] had focus on objectionable content detection e.g. [[w:nudity]], [[w:pornography]], [[w:violence]], [[w:hate]], [[w:Child sexual abuse|w:children exploitation]] and [[w:terrorism]] among others and to address misinformation problems when people are fed [[w:disinformation]] and they punt it on as misinformation. Announced topics included [[w:Outline of forensic science|w:image/video forensics]], [[w:detection]]/[[w:analysis]]/[[w:understanding]] of [[w:Counterfeit|w:fake]] images/videos, [[w:misinformation]] detection/understanding: mono-modal and [[w:Multimodality|w:multi-modal]], adversarial technologies and detection/understanding of objectionable content
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* '''2017''' | '''[[w:National Institute of Standards and Technology|w:NIST]]'''  [https://www.nist.gov/itl/iad/mig/nimble-challenge-2017-evaluation NIST ''''Nimble Challenge 2017'''' at nist.gov]
* '''2017''' | '''[[w:National Institute of Standards and Technology|w:NIST]]'''  [https://www.nist.gov/itl/iad/mig/nimble-challenge-2017-evaluation NIST ''''Nimble Challenge 2017'''' at nist.gov]


* '''2016''' | '''Nimble Challenge 2016''' - NIST released the Nimble Challenge’16 (NC2016) dataset as the MFC program kickoff dataset, (where NC is the former name of MFC). <ref>https://www.nist.gov/itl/iad/mig/open-media-forensics-challenge</ref>
* '''2016''' | '''Nimble Challenge 2016'''<ref>https://www.nist.gov/itl/iad/mig/open-media-forensics-challenge</ref>


=== Studies against synthetic human-like fakes ===
=== Studies against synthetic human-like fakes ===
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* [[w:Law review]]
* [[w:Law review]]
** [[w:List of law reviews in the United States]]
** [[w:List of law reviews in the United States]]
=== Reporting against synthetic human-like fakes ===
* [https://news.berkeley.edu/2019/06/18/researchers-use-facial-quirks-to-unmask-deepfakes/ ''''''Researchers use facial quirks to unmask ‘deepfakes’'''''' at news.berkeley.edu] 2019-06-18 reporting by Kara Manke published in '' Politics & society, Research, Technology & engineering''-section in Berkley News of [[w:University of California, Berkeley|w:UC Berkeley]].


=== Companies against synthetic human-like fakes ===
=== Companies against synthetic human-like fakes ===
See [[resources]] for more.


* '''[https://cyabra.com/ Cyabra.com]''' is an AI-based system that helps organizations be on the guard against disinformation attacks<ref group="1st seen in" name="ReutersDisinfomation2020">https://www.reuters.com/article/us-cyber-deepfake-activist/deepfake-used-to-attack-activist-couple-shows-new-disinformation-frontier-idUSKCN24G15E</ref>. [https://www.reuters.com/article/us-cyber-deepfake-activist/deepfake-used-to-attack-activist-couple-shows-new-disinformation-frontier-idUSKCN24G15E Reuters.com reporting] from July 2020.
* '''[https://cyabra.com/ Cyabra.com]''' is an AI-based system that helps organizations be on the guard against disinformation attacks<ref group="1st seen in" name="ReutersDisinfomation2020">https://www.reuters.com/article/us-cyber-deepfake-activist/deepfake-used-to-attack-activist-couple-shows-new-disinformation-frontier-idUSKCN24G15E</ref>. [https://www.reuters.com/article/us-cyber-deepfake-activist/deepfake-used-to-attack-activist-couple-shows-new-disinformation-frontier-idUSKCN24G15E Reuters.com reporting] from July 2020.
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