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2025-02-22 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >
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This article mainly explains "how to use blockchain to solve deepfake problem". The content of the explanation in this article is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn "how to use blockchain to solve deepfake problem".
Late last month, a "deepfake" video featuring Zhao Changpeng, chief executive of Binance, a cryptocurrency exchange, was leaked on Twitter, using deepfake technology to forge the classic image of Jet Li, one of the elite heroes.
The video was created by blockchain company Alethea AI at a Binance-sponsored hackathon in San Francisco at the end of October to show viewers the dangers of deepfake. In other words, carefully forged AI-generated public figure video rendering can spread fake news.
Concerns about the possible impact of the technology on international diplomacy, such as imagining a fake video depicting Trump declaring war on Russia, have spurred companies such as Facebook,DARPA, Microsoft and Oxford University to spend millions on solutions. Many blockchain companies such as Alethea AI have followed suit, using the decentralized, unchanged database of the technology to help people find fake videos.
Alethea is committed to solving deepfake
Alethea, the creator of Zhao Changpeng's Deepfake video, is building artificial intelligence tools to discover Deepfake and eventually archive it in an immutable blockchain database.
The purpose of the database is to create a deep video data pool that AI can use to help it "detect" deepfake. The invariance of the database of the blockchain ensures that it will not be tampered with.
Alethea focuses on creating data sets of video content related to facial expression manipulation because it is difficult for deepfake to forge these facial expressions.
Alethea is also committed to introducing technology to users. Its game applications are currently in closed testing and are designed to teach people the basic technologies used to create deepfake and how to find them online.
Amber Video creates digital fingerprint
Alethea focuses on testing and education, while Amber Video, an Ethernet-based platform overseen by Dr. David Doermann, the former head of media forensics at DARPA, focuses on "fingerprint identification", a method of encrypting video at the source before logging in.
Fingerprint recognition from the source means that even if you cut and splice the videos, you can make sure they are intact. For example, there may be 20 sound clips and 15 B-roll shots. [using Amber Video's software], each of these elements will keep its fingerprint unchanged.
By connecting the camera to the network, Amber Video can quickly add fingerprints to the images captured by the camera to prevent tampering. This technology can be used in police certificates.
Of course, the drawback here is that the cameras must be connected in real time, otherwise the fingerprints may be different.
Amber Video plans to sell its technology to large companies and law enforcement agencies whose security cameras are likely to be connected to the Internet and often have multiple stakeholders to resolve disputes. But homemade videotapes, such as videos of police shootings that often spread online, can be tricky to upload without a stable connection.
Thank you for your reading, the above is the content of "how to use blockchain to solve deepfake problem". After the study of this article, I believe you have a deeper understanding of how to use blockchain to solve deepfake problem, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!
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