NEW TECHNOLOGY! Now you can detect imposters, intruders in virtual meetings - Know details here

In the present pandemic scenario when most of the official meetings and work is 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.  

This means the technique will find out if some imposter is attending a webinar or virtual meeting on behalf of one of your colleagues by morphing his image with his own.  

In this regard, the researchers at the Indian Institute of Technology, Ropar in Punjab and Monash University, Australia have developed a unique detector named ‘FakeBuster’ to identify imposters attending a virtual conference without anybody’s knowledge, a ministry of education said.  

This new technology can also find out faces manipulated on social media to defame or make a joke of someone, an official statement of ministry added. 

“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 USA, last month.  

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

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”, said Associate Prof. Subramanian.  

He said the team is working on using the device to detect fake audios also. 

The team claims that ‘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.