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Indhold leveret af Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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What are Deepfakes, and How Can We Detect Them?

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Manage episode 338784740 series 1264075
Indhold leveret af Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this webcast, Shannon Gallagher and Dominic Ross discuss what deepfakes are, and how they are building AI/ML tech to distinguish real from fake. They will start with some well-known examples of deepfakes and discuss what makes them distinguishable as fake for people and computers.

  continue reading

174 episoder

Artwork
iconDel
 
Manage episode 338784740 series 1264075
Indhold leveret af Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this webcast, Shannon Gallagher and Dominic Ross discuss what deepfakes are, and how they are building AI/ML tech to distinguish real from fake. They will start with some well-known examples of deepfakes and discuss what makes them distinguishable as fake for people and computers.

  continue reading

174 episoder

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