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Deepfake is an advanced digital manipulation technique that uses artificial intelligence algorithms, specifically machine learning and neural networks, to create realistic-looking fake videos or images (synthetic media). These manipulated media can convincingly depict people doing or saying things that never actually occurred in reality.
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Deepfake creators are continually refining their techniques to evade detection. They leverage advancements in AI, particularly in machine learning and neural networks, to improve the realism of deepfakes. As detection methods become more sophisticated, so will the generation techniques, resulting in a perpetual cat-and-mouse game.
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1. Deep Learning Algorithms
2. Forensic Analysis
3. Digital Watermarking
4. Blockchain Technology
5. Biometric Comparison
6. Audio Analysis
7. Liveness Detection
8. Multifactor Authentication
9. Sentinel & FakeCatcher
10. WeVerify & Microsoft’s Video Authenticator Tool
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Improving Resolution, Better Face-Swapping Techniques, Refining Audio, GAN Refinement, and Adaptive Learning are some of the tactics they follow to dodge the detection methods.
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