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prompt-injection-defense

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PromptMe is an educational project that showcases security vulnerabilities in large language models (LLMs) and their web integrations. It includes 10 hands-on challenges inspired by the OWASP LLM Top 10, demonstrating how these vulnerabilities can be discovered and exploited in real-world scenarios.

  • Updated Jun 29, 2025
  • Python

A comprehensive reference for securing Large Language Models (LLMs). Covers OWASP GenAI Top-10 risks, prompt injection, adversarial attacks, real-world incidents, and practical defenses. Includes catalogs of red-teaming tools, guardrails, and mitigation strategies to help developers, researchers, and security teams deploy AI responsibly.

  • Updated Oct 8, 2025

🛠️ Explore large language models through hands-on projects and tutorials to enhance your understanding and practical skills in natural language processing.

  • Updated Dec 8, 2025
  • Jupyter Notebook

Bidirectional security framework for human/LLM interfaces. Implements a defense-in-depth architecture with multiple validation layers for input, output, and agent state. Version 2.5.0 achieves a ~54 MB memory baseline (96% reduction) through PyTorch-free core execution and on-demand loading of advanced ML validators

  • Updated Dec 5, 2025
  • Python

🛡️ Explore tools for securing Large Language Models, uncovering their strengths and weaknesses in the realm of offensive and defensive security.

  • Updated Dec 8, 2025

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