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Juho Kunsola (talk | contribs) (recreated edits in single edit + ''''Disinformation That Kills: The Expanding Battlefield Of Digital Warfare'''' at cbinsights.com + '''Partnership for Countering Influence Operations''' ('''PCIO''') at carnegieendowment.org + '''The Center for Countering Digital Hate''' at counterhate.com + the awesome '''The WITNESS Media Lab''' at lab.witness.org and their 2018 event to compile information and raise awareness and their 2019 event to explore media forensics and other counter-measures) |
Juho Kunsola (talk | contribs) (→Events against synthetic human-like fakes: + ONGOING w:National Institute of Standards and Technology (NIST) "Open Media Forensics Challenge" at nist.gov) |
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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://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. | |||
* '''2020''' | '''CVPR''' | [https://sites.google.com/view/wmediaforensics2020/home 2020 Conference on Computer Vision and Pattern Recognition: ''''Workshop on Media Forensics'''' at sites.google.com], a '''June 2020''' workshop at the Conference on Computer Vision and Pattern Recognition. | |||
* '''2020''' | The winners of the [https://venturebeat.com/2020/06/12/facebook-detection-challenge-winners-spot-deepfakes-with-82-accuracy/ Deepfake Detection Challenge reach 82% accuracy in detecting synthetic human-like fakes]<ref name="VentureBeat2020">https://venturebeat.com/2020/06/12/facebook-detection-challenge-winners-spot-deepfakes-with-82-accuracy/</ref> | * '''2020''' | The winners of the [https://venturebeat.com/2020/06/12/facebook-detection-challenge-winners-spot-deepfakes-with-82-accuracy/ Deepfake Detection Challenge reach 82% accuracy in detecting synthetic human-like fakes]<ref name="VentureBeat2020">https://venturebeat.com/2020/06/12/facebook-detection-challenge-winners-spot-deepfakes-with-82-accuracy/</ref> | ||
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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> | |||
=== Studies against synthetic human-like fakes === | === Studies against synthetic human-like fakes === |