‘FakeBuster’: Detector Developed By IIT Ropar To Identify Imposters Attending Virtual Conference

Ropar: Researchers at the Indian Institute of Technology (IIT), Ropar, Punjab and Monash University, Australia have developed a detector called ‘FakeBuster.’ It identifies 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. The device has already been tested and would hit the market soon, educationtimes.com reported.

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.

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

“The tool has achieved over 90% accuracy,” said Dhall. The other three members include Ramanathan Subramanian, associate professor and two students Vineet Mehta and Parul Gupta.

A paper on this technique – FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios – was presented at the 26th International Conference on Intelligent User Interfaces, in the USA, last month.

According to Dhall, 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 the 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, he told educationtimes.com

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, the report added.

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,” Subramanian was quoted as saying. He said the team is working on using the device to detect fake audios also.