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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) | | * '''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> | ||
* '''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] | ||
* '''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'''<ref>https://www.nist.gov/itl/iad/mig/open-media-forensics-challenge</ref> | * '''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> | ||
=== 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. |