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DeepFakes Mitigation Whitepaper

Research whitepaper exploring technical approaches to detecting and mitigating deepfake content. Covers detection methods, watermarking, and policy considerations.

Status: Work in Progress

A comprehensive whitepaper examining the technical and policy challenges of deepfake content, with a focus on practical mitigation strategies.

Scope

  • Detection Techniques: Analysis of current deepfake detection methods and their limitations
  • Technical Countermeasures: Watermarking, provenance tracking, and authentication approaches
  • Policy Frameworks: Legal and regulatory considerations for deepfake content
  • Future Directions: Emerging technologies and research areas

Goals

This research aims to provide a practical overview of deepfake mitigation for:

  • Security professionals evaluating detection tools
  • Organizations developing content authentication policies
  • Researchers working on novel detection approaches

Repository: github.com/yokoszn/DeepFakes-Mitigation-WHITEPAPER

Research and writing in progress. Contributions and feedback welcome.