IIT, Ropar, Punjab and Monash University, Australia researchers ' fake-buster ' has a developed unique detector called, which can detect any fraudulent online. Be aware that such frauds enter the virtual conference without anyone's knowledge. Through this technique, social media can also catch the frauds, who use their face to defame or make fun of them.
In the current epidemic, most of the work and official meetings are happening online. With this unique technique it can be found out which person's video is being tampered with or who is intruding during the video conference. With this technique, it will be known who has entered into a fraud webinar or virtual meeting. Such infiltration is often done by messing with photos of your colleague or legitimate member.
' ;">Throw-buster , " said the four-member team of Dr. INNOVATIVE dhal to development, " granular artificial intelligence technology has dramatically increased the incidence of changes in media content. Such techniques are developing day by day. This has made it difficult to detect right and wrong, which can have a far-reaching impact on security. " Dr. Dhaal assured, " The accuracy of this tool is over 90 percent. “The other three members are Associate Professor Ramanathan Subramanian and two students Vineet Mehta and Parul Gupta.
A paper on this technique ' Fake-Buster: A Deepfax Detection Tool for Video Conferencing Cinereos ' was presented at the 26th International Conference of Intelligent User Interfaces held in the US last month.
Dr. Dhal says that media content is manipulated in spreading fake news. The same manipulation is done with pornography and other online content, which has a profound effect. He said that such manipulation is also happening in video conferencing, where intruders change face gestures through intruder devices. This deceived people find it to be true, which has serious consequences. Manipulating video or visualization is called ' Deepfax ' . It can also be used incorrectly during online exams or job interviews.
This software is different from video conferencing solutions and has been tested on Zoom and Skype applications.
Deepfake detection tool ' Fake-buster ' works both online and offline. It can be used in laptops and desktops in the current time. Regarding this, Associate Professor Subramanian said, " Our aim is to keep the network small and light so that it can be used on mobile phones and other devices." " He said that his team is also working on a device to capture fake audio at this time.
The team claims that the ' fake-buster ' software is the first tool that captures frauds during live video conferencing using DeepFake detection technology. This device has been tested and will be launched in the market soon.
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