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Analyses of Algorithms to Detect DeepFake Videos
  • Gautam Kumar
Gautam Kumar
Independent Researcher

Corresponding Author:[email protected]

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Deep learning has impacted various aspects of artificial intelligence ranging from computer vision to reinforcement learning. However, it has also inspired malicious actors to spread misinformation without detection. Fake videos can now be generated with precision high enough to go undetected by traditional video forensics. These videos, popularly referred to as DeepFakes, are being used to spread misinformation. Deep learning based techniques have evolved over the years to detect such DeepFakes. This article analyzes the DeepFake detection algorithms and implements five such algorithms on a standard dataset. The advantages and challenges of the implemented algorithms are explored in detail.