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Exposing the deception of DeepFakes
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Daniel Whitenack and Chris Benson

· 55 Minutes

PodcastPractical AI

Exposing the deception of DeepFakes

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Featuring:

  • Chris Benson – Website, GitHub, LinkedIn, X
  • Daniel Whitenack – Website, GitHub, X

Show Notes:

  • The Dark Knight’s Tale (DeepFake)
  • Official PyTorch Implementation of StarGAN - CVPR 2018
  • Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (YouTube)
  • Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (PDF)
  • MelNet: A Generative Model for Audio in the Frequency Domain
  • Text-based Editing of Talking-head Video
  • Better Language Models and Their Implications (GPT-2)
  • Fake-porn videos are being weaponized to harass and humiliate women: ‘Everybody is a potential target’
  • The National Security Challenges of Artificial Intelligence, Manipulated Media, and “Deepfakes” – 13 June 2019
  • Student with access to TPU credits reproduced GPT2-1.5B and plan to release model
  • Papers With Code: fake+detection
  • In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking
  • A Retrospective Analysis of the Fake News Challenge Stance Detection Task
  • Deepfake debunking tool may protect presidential candidates. For now. Sometimes
  • The Era of Fake Videos is Here
  • S.3805 - Malicious Deep Fake Prohibition Act of 2018
  • Practical AI episode #47 - GANs, RL, and transfer learning oh my!
  • Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes
  • Machine Learning for fake news detection: theory and practice

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Original source

This story was published by Practical AI and written by Daniel Whitenack and Chris Benson. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on share.transistor.fm

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