BAIT

What problem does it solve?

This Skill addresses the emerging threat of backdoors embedded within Large Language Models (LLMs), enabling proactive detection and mitigation.

Core Features & Use Cases

• LLM Backdoor Detection: Identifies hidden malicious functionalities within LLMs.
• Inverted Attack Target: Utilizes a novel approach to uncover vulnerabilities by inverting the attack vector.
• Use Case: Security researchers and AI developers can use this Skill to audit LLMs before deployment, ensuring they are free from adversarial manipulations.

Quick Start

Use the BAIT skill to scan the attached LLM model for potential backdoors.