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Security: Sumitchongder/Graphical-Neural-Network

Security

SECURITY.md

Security Policy

🔐 Responsible Disclosure

This project includes machine learning pipelines, graph processing, LLM fine-tuning, and agentic workflows.
If you identify a vulnerability, correctness issue, or unsafe assumption, please do not open a public issue immediately.

Instead, report it responsibly to the project maintainer via private communication.

Please include:

  • Description of the issue
  • Affected components (GNN, LLM, RL, orchestration, data handling)
  • Steps to reproduce (if applicable)
  • Potential impact on correctness, safety, or reproducibility
  • Suggested mitigation (optional)

🛡 Scope of Security Considerations

Relevant issues may include:

  • Data leakage or unsafe serialization
  • Incorrect assumptions in graph-to-text conversion
  • Vulnerabilities in model fine-tuning workflows
  • Reproducibility failures due to randomness
  • Unsafe dependency usage or version conflicts
  • Misleading evaluation or metric computation

📦 Supported Versions

Only the latest version of the repository is actively maintained.
Users are encouraged to keep dependencies (PyTorch, Transformers, Optuna, CUDA drivers) up to date.


⚠️ Research Disclaimer

This repository is intended for research, experimentation, and demonstration purposes.

It is not a production-ready AI system, and outputs should not be used for safety-critical or regulated decision-making without additional validation.


🧾 Acknowledgement

We appreciate responsible disclosure and collaboration to maintain correctness, trust, and scientific rigor.

Thank you for helping keep this project secure and reliable 🔒

There aren't any published security advisories