Organizations and events against synthetic human-like fakes
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==== Past events ==== * '''2022''' | [https://www.interspeech2022.org/ '''INTERSPEECH 2022''' at interspeech2022.org] organized by [[w:International Speech Communication Association]] was held on 18-22 September 2022 in Korea. The work [https://arxiv.org/abs/2203.15563 ''''''Attacker Attribution of Audio Deepfakes'''''' at arxiv.org] was presented there * '''2022''' | [https://law.yale.edu/isp/events/technologies-deception '''Technologies of Deception''' at law.yale.edu], a conference hosted by the [[w:Information Society Project]] (ISP) was held at Yale Law School in New Haven, Connecticut, on March 25-26, 2022<ref>https://law.yale.edu/isp/events/technologies-deception</ref> * '''2021''' | '''[[w:Conference on Neural Information Processing Systems]]''' [https://neurips.cc/ '''NeurIPS 2021''' at neurips.cc], was held virtually in December 2021. I haven't seen any good tech coming from there in 2021. On the problematic side [[w:StyleGAN]]3 was presented there. * '''2021''' | '''[[w:Conference on Computer Vision and Pattern Recognition]] (CVPR)''' 2021 [https://cvpr2021.thecvf.com/ '''CVPR 2021''' at cvpr2021.thecvf.com] ** [https://public.tableau.com/app/profile/joshpreston/viz/CVPR2021/Dashboard1 '''CVPR 2021 research areas visualization by Joshua Preston''' at public.tableau.com] ** [https://sites.google.com/view/mediaforensics2021 2021 ''''Workshop on Media Forensics'''' in CVPR 2021 at sites.google.com], a '''June 2021''' workshop at the Conference on Computer Vision and Pattern Recognition. * '''2020''' | [http://cvpr2020.thecvf.com/ '''CVPR''' 2020] | [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''' | [https://www.ftc.gov/news-events/events/2020/01/you-dont-say-ftc-workshop-voice-cloning-technologies '''''You Don't Say: An FTC Workshop on Voice Cloning Technologies''''' at ftc.gov] was held on Tuesday 2020-01-28 - [https://venturebeat.com/2020/01/29/ftc-voice-cloning-seminar-crime-use-cases-safeguards-ai-machine-learning/ reporting at venturebeat.com] * '''2019''' | At the annual Finnish [[w:Ministry of Defence (Finland)|w:Ministry of Defence]]'s '''Scientific Advisory Board for Defence''' ('''MATINE''') public research seminar, a research group presented their work [https://www.defmin.fi/files/4755/1315MATINE_seminaari_21.11.pdf ''''''Synteettisen median tunnistus''''''' at defmin.fi] (Recognizing synthetic media). They developed on earlier work on how to automatically detect synthetic human-like fakes and their work was funded with a grant from MATINE. * '''2019''' | '''[[w:NeurIPS]] 2019''' | [[w:Facebook, Inc.]] [https://spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/facebook-ai-launches-its-deepfake-detection-challenge '''"Facebook AI Launches Its Deepfake Detection Challenge"''' at spectrum.ieee.org] [[w:IEEE Spectrum]]. More reporting at [https://venturebeat.com/2019/12/11/facebook-microsoft-and-others-launch-deepfake-detection-challenge/ '''''"Facebook, Microsoft, and others launch Deepfake Detection Challenge"''''' at venturebeat.com] * '''2019''' | '''[https://cvpr2019.thecvf.com/ CVPR 2019]''' | [https://sites.google.com/view/mediaforensics2019/home '''2019''' CVPR: ''''Workshop on Media Forensics''''] * '''2017'''-'''2020''' | '''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]. Succeeded by the '''Open Media Forensics Challenge'''. * '''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''' | '''NIST''' [https://www.nist.gov/itl/iad/mig/media-forensics-challenge-2018 NIST ''''Media Forensics Challenge 2018'''' at nist.gov] was the second annual evaluation to support research and help advance the state of the art for image and video forensics technologies – technologies that determine the region and type of manipulations in imagery (image/video data) and the phylogenic process that modified the imagery. * '''2017''' | '''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>
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Synthetic human-like fakes
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