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@article{162897, author = {Mr. Balaji Nivruttirao Bedre}, title = {Deepfake Detection Techniques-A Review}, journal = {International Journal of Innovative Research in Technology}, year = {2025}, volume = {10}, number = {11}, pages = {3014-3018}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=162897}, abstract = {Contents on social media may be without difficulty handy in this era and with the help of advanced tools and cheaper computing infrastructure, it has made very smooth for people to provide deep fakes. These may be AI generated motion pictures which appearance actual however are fake, that may be created via face swapping strategies. It causes a intense terrible impact on social existence of humans because of spreading of disinformation and swindle. With the speedy advancement on this technology and misuse of it, all people can easily create propaganda affecting panic and chaos. for this reason, a sturdy machine to discover and differentiate among real and pretend content material has become important on this age of social media. This paper evaluations on distinctive methods of detecting the deepfakes and examine them a good way to gain more accuracy in consequences.}, keywords = {Detection, Classification, Deepfake Video, review, comparison, face swapping.}, month = {May}, }
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