aceDeepfake Detection In Multi-Model Using Deep Learning
Artificial Intelligence (AI) refers to the broad field where machines are trained to carry out tasks such as learning, reasoning and decision-making.Deep Learning (DL) is a branch of AI that relies on multi-layered neural networks to extract features automatically, handling complex data like images and videos with high accuracy, which makes it well-suited for deepfake detection.Current detection systems mostly depend on Convolutional Neural Networks (CNNs) to examine spatial artifacts in video frames, alongside…
A framework combining CNN video preprocessing, LSTM temporal analysis, audio features and ongoing retraining reached 98.47% accuracy on the FaceForensics++ benchmark for deepfake detection.
Existing CNN and frequency-domain detectors fall short on low-quality, compressed or rapidly changing fake videos.
The only quantitative evidence given is accuracy on one benchmark, FaceForensics++, so the abstract does not show performance on other datasets or real-world conditions.
Evidence
- Peer-reviewedInternational Journal of Drug Delivery Technology2026-10-19
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Truvace Impact Record TRV-2026-2063, v1: “Deepfake Detection In Multi-Model Using Deep Learning.” Truvace, 2026-10-21. /record/TRV-2026-2063 (accessed at citation time). sha256 00df18460f4d7467…
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