GS PAPER III: Science and Technology- developments and their applications and effects in everyday life.

Context: The Indian Institute of Technology Ropar along with Australia based Monash University has developed a unique detector named ‘FakeBuster’ to detect imposters attending a virtual conference without anybody’s knowledge.

• The detector can also find out faces manipulated on social media to defame or make joke of someone.
• This standalone solution would enables a user to detect if another person's video is manipulated or spoofed during a video conferencing.
• The deepfake detection tool ‘FakeBuster’ works in both online and offline modes.

What is Deepfake?

• They are synthetic media in which a person in an existing image or video is replaced with someone else's likeness.
• It leverage powerful techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content with a high potential to deceive.
• The main machine learning methods used to create deepfakes are based on deep learning and involve training generative neural network architectures.
• Deepfakes rely on a type of neural network called an
• Deepfakes have garnered widespread attention for their uses in celebrity pornographic videos, revenge porn, fake news, hoaxes, and financial fraud.

https://www.thehindu.com/sci-tech/iit-ropar-develops-unique-detector-fakebuster-to-detect-imposters-attending-a-virtual-conference/article34593948.ece?homepage=true

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