
DW
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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