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Research
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Resources
Research
Reality Defender’s research explores the latest advancements in detecting AI-generated media—including deepfakes, synthetic voice, and content manipulation. Built by engineers, data scientists, and disinformation experts, our insights inform real-world detection strategies for enterprise and government partners.
Learn how emerging threats are being tracked—and countered—in the field.
The Latst From the Reality Defender AI and Research Team
Read publications about cutting-edge advancements in the world of deepfake detection from our team of AI and machine learning veterans.
12 articles
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PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors
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A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations
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X-Edit: Detecting and Localizing Edits in Images Altered by Text-Guided Diffusion Models
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What Does an Audio Deepfake Detector Focus on? A Study in the Time Domain
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Learn from Real: Reality Defender’s Submission to ASVspoof5 Challenge
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Content and Style Aware Audio-Driven Facial Animation
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AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection
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Preprint: Common Sense Reasoning for Deep Fake Detection
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Preprint: Common-Sense Bias Discovery and Mitigation for Classification Tasks
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Towards Attention-based Contrastive Learning for Audio Spoof Detection
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Generalized Spoofing Detection Inspired from Audio Generation Artifacts
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Patent: Identification of Neural-Network-Generated Fake Images
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