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DeepShield: Technical Analysis of a Multimodal AI Deepfake Detection System

DeepShield is an open-source multimodal deepfake detection system that supports AI-generated content recognition across three modalities: images, videos, and audio. Built on EfficientNet-B0 and a custom CNN architecture, it achieves an accuracy of 97.77% in image detection and over 99% in audio detection.

DeepShield深度伪造检测Deepfake多模态AIEfficientNet语音克隆检测FastAPI计算机视觉音频分析内容安全
Published 2026-04-29 14:04Recent activity 2026-04-29 14:18Estimated read 1 min
DeepShield: Technical Analysis of a Multimodal AI Deepfake Detection System
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Section 01

导读 / 主楼：DeepShield: Technical Analysis of a Multimodal AI Deepfake Detection System

Introduction / Main Floor: DeepShield: Technical Analysis of a Multimodal AI Deepfake Detection System

DeepShield is an open-source multimodal deepfake detection system that supports AI-generated content recognition across three modalities: images, videos, and audio. Built on EfficientNet-B0 and a custom CNN architecture, it achieves an accuracy of 97.77% in image detection and over 99% in audio detection.

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