If you discover a security vulnerability in mLoRA, we request that you report it responsibly.

Please do not publicly disclose the vulnerability until we have had a chance to assess and address it. You can report the vulnerability through email:

• Email: Send an email to salmaf999o@gmail.com detailing the nature of the vulnerability, steps to reproduce it, and any potential impact.

We aim to respond to reported vulnerabilities ASAP and will work with you to investigate and resolve the issue as quickly as possible.

We encourage you to report issues related to:

• Data Poisoning Attacks: If you notice that training data is compromised or if any unexpected model behaviors occur that may result from malicious data.
• Pipeline Parallelism Security: If you identify vulnerabilities in the communication between nodes when using pipeline parallelism, such as unencrypted connections or unauthorized access.
• Container Security: Vulnerabilities in our Docker images, such as insecure configurations or exposed SSH access.
• Credential Management: Issues related to insecure handling of environment variables, passwords, or API keys.
• API Misuse: Unauthorized usage of mLoRA as a service, overloading the API, or attempting to extract sensitive model information.

Once a vulnerability is confirmed, we will:

1. Work on a patch to fix the vulnerability.
2. Publish a security advisory on GitHub to notify users of the issue and the resolution.

Thank you for helping to improve the security of mLoRA!