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Graph-based representations of semantic relationships between adversarial prompts to identify attack patterns.
Distinct from Attack Path Visualizations: Visualizes relationships between semantic prompts rather than movements between cloud assets.
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This project is a comprehensive ecosystem of frameworks, toolkits, and datasets designed to evaluate model vulnerabilities and analyze jailbreak patterns. It serves as an adversarial testing framework and research toolkit for measuring the effectiveness of safety guardrails in large language models. The system includes a library of real-world prompt injection datasets harvested from social media to study bypass strategies. It provides specialized tools for semantic attack analysis and prompt visualization, allowing for the mapping of relationships between adversarial prompts to discover commo
Visualizes relationships between different prompts to discover common patterns used in model jailbreak attempts.