Deep Fakes vs. Real Humans: Detection, Generation, and Media Provenance | Intel

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Опубликовано 3 июня 2024, 13:59
In this What That Means video, Camille talks with Ilke Demir, Senior Staff Researcher at Intel Labs, about deep fakes. They explore how to detect deep fakes, particularly with FakeCatcher developed by Ilke Demir and Umur Aybars Ciftci. They also discuss the possibility of responsible deep fake generation, concerns about deep fakes, and different media provenance methods.

Video originally published January 2023.

0:00 Introductions
0:44 Synthetic media
1:15 What is a deep fake?
2:46 Deep fake detection methods
6:57 The difficulty of personal identification
8:26 Responsibly generating deep fakes
10:34 Deep fake concerns
16:00 Media provenance and authentication
19:44 Software-based authentication
21:39 Digital media contract rights
23:14 How the public can detect deep fakes
24:44 What is FakeCatcher?
25:18 Wrap-up

For more information, previous podcasts, and full versions, visit our website at intechnology.intel.com

#deepfake #fakecatcher #mediaprovenance

The views and opinions expressed are those of the guests and author and do not necessarily reflect the official policy or position of Intel Corporation.

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Deep Fakes vs. Real Humans: Detection, Generation, and Media Provenance | Intel
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