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This software platform is independent of video conferencing solutions and has been tested with Zoom and Skype applications. Pixabay

A unique detector named ‘FakeBuster’ will now identify imposters attending a virtual conference without anybody’s knowledge. It can also find out faces manipulated on social media to defame or make a joke of someone. In the present pandemic scenario when most of the official meetings and work are being done online, this standalone solution enables a user (organizer) to detect if another person’s video is manipulated or spoofed during a video conferencing.

That means the technique will find out if some imposter is attending a Webinar or virtual meetings on behalf of one of your colleagues by morphing his image with his own. Researchers at the Indian Institute of Technology, Ropar in Punjab and Monash University, Australia have developed the unique detector.


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“Sophisticated artificial intelligence techniques have spurred a dramatic increase in manipulation of media contents. Such techniques keep evolving and become more realistic. That makes detection difficult which could have far-reaching security implications”, said Dr Abhinav Dhall, one of the key members of a four-man team that developed the ‘FakeBuster’.

“The tool has achieved over 90 per cent accuracy”, assures Dr Dhall. The other three members include Associate Prof Ramanathan Subramanian and two students Vineet Mehta and Parul Gupta. A paper on this technique — FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios — has been presented in the 26th International Conference on Intelligent User Interfaces, in the SA, last month.


The team is working on using the device to detect fake audios also. Pixabay

Dr Dhall said that the usage of manipulated media content in spreading fake news, pornography and other such online content has been widely observed with major repercussions. He said such manipulations have recently found their way into video-calling platforms through spoofing tools based on transfer of facial expressions.

“These fake facial expressions are often convincing to the human eye and can have serious implications. These real-time mimicked visuals (videos) known as ‘Deepfakes’ can even be used during online examinations and job interviews.” This software platform is independent of video conferencing solutions and has been tested with Zoom and Skype applications.

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The Deepfake detection tool – ‘FakeBuster’ works in both online and offline modes. Since the device can presently be attached with laptops and desktops only “we are aiming to make the network smaller and lighter to enable it to run on mobile phones/devices as well”, informed Associate Prof Subramanian.

He said the team is working on using the device to detect fake audios also. The team claims that this software platform ‘FakeBuster’ is one of the first tools to detect imposters during live video conferencing using DeepFake detection technology. “The device has already been tested and would hit the market soon.” (IANS/JC)


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On the opening day of the wrestling competition, Ravi Kumar defeated Bulgaria's Georgi Vangelov 14-4 on technical superiority to reach the last-four in the men's 57kg category, while compatriot Deepak Punia overcame China's Zushen Lin 6-3 on points to advance to the semifinals.

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Ravi Kumar landed attack after attack and went 13-2 up, winning the bout by technical superiority with minutes to spare. In wrestling, building up a 10-point lead over the opponent results in a victory by technical superiority.

India's 86kg freestyle wrestler Deepak Punia showed no signs of the niggle that had forced him to pull out of the Poland Open Ranking Series in Warsaw in June, as he defeated Nigeria's Ekerekeme Agiomor on technical superiority to secure a quarterfinal berth.

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Punia, who had also suffered an elbow injury just before the Games, was slow at the start but came into his own as the bout progressed, inflicting takedowns at regular intervals to earn points.

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