There are usually two types of methods to deal with and detect deep face forgery. One group uses deep learning to automatically extract important and distinctive features such as eye blink rate, head and neck movement, eyebrow movement, facial skin furrows, lip and mouth movement, and shadows in order to detect deep forgery. Another category of deep face forgery detection methods are based on video cryptography techniques (such as video encryption, authentication codes, tagging, abstraction, and digital signature). Sometimes the encryption algorithm is applied to secure the video.
Each of the existing methods for detecting deep facial forgery has weaknesses and shortcomings. Unfortunately, the high error rate in these methods raises these concerns about the fundamental need for more powerful approaches to distinguish fake from real videos in the future. Also, it is necessary to use expensive computational tools to detect deep forgery due to the large amount of calculations. Methods based on video encryption also face several challenges.
In the realm of fake video detection, several new ideas and products based on artificial intelligence have emerged to combat deep face forgery. Some innovative approaches include:
By exploring these advanced AI technologies and approaches, researchers and developers are working towards more robust and effective solutions for detecting fake videos and combating the challenges posed by deep face forgery.
Hello, dear Yashar
Thank you for your reply. Do you know any review papers on this subject?
Do you know any software or hardware products for this job that you can introduce to me?
In the field of detecting fake videos using artificial intelligence, there are several technologies that are used to detect fake images and videos. Some of the new ideas and products based on artificial intelligence that are used for this purpose are:
Using deep neural networks (Deep Neural Networks) to detect unnatural changes and edits in videos.
Using machine learning algorithms to detect fake voices in videos.
Using motion analysis technology to detect fake videos with unnatural movements.
Using image processing and pattern recognition techniques to detect fake images in videos.
Many articles and researches have been done in the field of detecting fake videos using artificial intelligence. One of the famous articles in this field can be the article "DeepFake Detection Using Recurrent Neural Networks", in which recurrent neural networks are used to detect DeepFake videos.
In the field of software and hardware products for detecting fake videos, some companies and startups have developed products that use artificial intelligence to detect DeepFake. Some of these products include:
Truepic: a platform for detecting fake images and videos using blockchain technology and artificial intelligence.
Deepware Scanner: A DeepFake detection software that uses deep learning algorithms to detect abnormal changes in videos.
These are just a few examples of products and technologies that have been developed to detect fake videos using artificial intelligence. To access more products and technologies, you can search online resources and related websites.
Hello, Dear Yashar,
Thak you for your answer.
Do you know any companies or universities working on this issue in Iran?
In Iran, various universities are active in the field of detecting fake videos. Some of the universities that are involved in this area include:
Please note that detailed and comprehensive information in this regard may be limited, and for more accurate information, you can contact the mentioned universities or obtain more information through their websites.
- Badges
- Science topic
- Similar topics
- Geoscience
- Cartography
- Mapping