This project is in active early development. Security fixes are applied to the latest release on the main branch only.

Please do not report security vulnerabilities through public GitHub issues, pull requests, or discussions.

Instead, please report it privately through one of the two channels below.

1. GitHub Security Advisories (preferred). Open a private report from the repository's Security tab using Report a vulnerability.
2. Email. Write to the maintainer at vardhjain20@gmail.com with the subject line SECURITY: Secondsight.

When you report an issue, please include as much of the following as you can.

• A description of the issue and its potential impact.
• Steps to reproduce (a minimal proof of concept is ideal).
• Affected versions, environment, and any relevant configuration.

• Acknowledgement within 5 business days.
• A follow-up with an assessment and, where applicable, a remediation plan.
• Public disclosure (and credit, if desired) only after a fix is available.

This is a research/portfolio computer-vision project. A few points worth noting for anyone deploying it:

• Model checkpoints are untrusted input. Loading a .pth/.pt file executes arbitrary code via Python's pickle unless weights_only=True is used. Only load checkpoints from sources you trust.
• The bundled Gradio demo is intended for local/offline use. It launches with share=False; do not expose it to untrusted networks without adding authentication and input validation appropriate to your environment.
• Dataset downloads rely on third-party services (kagglehub); verify their integrity before use.

Thank you for helping keep this project and its users safe.