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Deepfakes and Synthetic Media: Generation, Detection, and Governance
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deepfakesdetectiongovernancecomputer vision
2609.25017
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1h ago80%
Abstract
This paper explores the critical threat posed by deepfakes and synthetic media, focusing on their generation, detection, and governance.
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Core Claim
The paper identifies the need for a defense-in-depth approach to deepfake governance that integrates forensic detection, verifiable provenance, and institutional accountability.
Method / Result
The overview highlights various deepfake generation models and detection techniques, emphasizing the challenge of cross-generator generalization as a central open challenge.
Limitations
The difficulty of achieving strong generalization in detection methods is a significant limitation.
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