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FakeBuster: IIT Ropar researchers develop Detect Imposters attending a virtual conference

FakeBuster: IIT Ropar researchers develop Detect Imposters attending a virtual conference

Witness, New Delhi: Abhinav Dhal, a professor at Roper IIT in Punjab, said he would identify those who secretly attend virtual meetings without permission. A special detector called ‘Fakebuster’ was developed by researchers from Roper IIT, Monash University in Australia. Fake face posts can also be found on social media to defame or ridicule anyone.

Due to the current pandemic, most official meetings are held online. With the help of this detector, the conference organizer will be able to know if someone else is involved or misused in a place during the video conference. For example, if a scammer attends a webinar or virtual meeting on behalf of one of his coworkers, this tool can be used to identify him.

“There are many irregularities and scams on social media due to advanced methods of artificial intelligence. Such things continue to thrive. Get more realistic. It is difficult not to detect these types of scams. Scammers can cause security problems,” said Professor Abhinav Dhal, one of four people who developed Fakebuster, the device is said to be more than 90 percent accurate, and the other three members are associate professor Ramanathan Subramanian, two students Vineet Mehta and Parul Gupta.

He presented the document “Fake Buster: A Deep Fax Detection Tool for Videoconferencing Scenarios” at the 26th International Conference on Intelligent User Interfaces in the United States last month. Professor Dhal said he found widespread use of manipulated media content to spread fake news, pornography and other content online. He said such actions would have serious consequences.

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He said scammers infiltrated phishing tools that could change facial expressions in video call meetings. He said that these fake facial expressions were difficult to detect and that the person would think they were real. The result is said to be serious problems.

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