Deepfake-Audio / SECURITY.md
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Deepfake-Audio
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Security Policy

Maintenance Status

This repository is part of a curated collection of academic and engineering projects and is maintained in a finalized and stable state. The project is preserved as a complete and authoritative record, with its scope and contents intentionally fixed to ensure long-term academic and professional reference.

Supported Versions

As a finalized project, only the version listed below is authoritative:

Version Supported
1.0.0 Yes

Vulnerability Reporting Protocol

In accordance with established academic and professional standards for security disclosure, security-related observations associated with this project are documented through formal scholarly channels.

To document a security concern, communication is facilitated with the project curators:

Submissions include:

  1. A precise and technically accurate description of the identified issue.
  2. Demonstrable steps or technical evidence sufficient to contextualize the finding.
  3. An explanation of the issue’s relevance within the defined scope of the project.

Implementation Context: Deep Learning Audio Synthesis

This project consists of an advanced Deep Learning platform, utilizing Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis (SV2TTS) and Real-Time Vocoders for high-fidelity audio generation.

  • Scope Limitation: This policy applies exclusively to the documentation, code, and model assets contained within this repository and does not extend to the runtime environment (Google Colab/Python) or third-party libraries.

Technical Integrity Statement

This repository is preserved as a fixed academic and engineering project. Security-related submissions are recorded for documentation and contextual reference and do not imply active monitoring, response obligations, or subsequent modification of the repository.


This document defines the security posture of a finalized Python project.