Covid Response: India Releases FakeBuster to Catch Virtual Imposters
An overcrowded road in India’s capital New Delhi which is the most polluted national capital in the world. Photo: Rakesh Raman / RMN News Service (Representational Image)
The government communique adds that this software platform is independent of video conferencing solutions and has been tested with Zoom and Skype applications.
Researchers at the Indian Institute of Technology (IIT), Ropar in Punjab and Monash University, Australia have developed a detector named ‘FakeBuster’ to identify imposters attending a virtual conference secretly. According to an official communique released on May 19 by India’s Ministry of Education, the detector can also detect faces manipulated on social media to defame or make a joke of someone.
In the present Covid-19 pandemic scenario when most of the official meetings are held 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 meeting on behalf of one of your colleagues by morphing their image with his / her own image.
“Sophisticated artificial intelligence (AI) techniques have spurred a dramatic increase in manipulation of media content. 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-member 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 – was presented in the 26th International Conference on Intelligent User Interfaces, in the USA, in April.
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.
The government communique adds that 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,” informed Associate Prof. Subramanian. He said the team is working on using the device to detect fake audios also. [ Click here to watch a related video. ]
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. It is claimed that the device has already been tested and will hit the market soon.
