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🎓 As part of a course project with a classmate, we explored prompt injection attacks by directly interacting with large language models (LLMs) to understand their vulnerabilities. We also presented how the open-source tool Giskard can help secure these models through automated testing and vulnerability detection.

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🧠 Prompt Injection & Giskard 🐢

⚠️ This repository has been archived and is no longer maintained. ⚠️

🇬🇧 English Version

Overview

This repository contains the course project on prompt injection attacks and LLM (Large Language Model) security, created in collaboration with a classmate. The presentation explains how the open-source tool Giskard 🐢 can be used to detect and prevent prompt injection vulnerabilities in AI systems.

📄 Presentation

🔗 Download the presentation (PPTX)

🔗 Download the presentation (PDF)

Technologies & Skills

  • Prompt Injection Attacks
  • LLM Security & Ethics
  • Giskard 🐢 (open-source testing framework)

🇫🇷 Version Française

Présentation

Ce dépôt contient un projet de cours réalisé avec un camarade sur les attaques par prompt injection et la sécurité des modèles de langage (LLM). La présentation met en lumière comment l’outil open source Giskard 🐢 permet d’identifier et de prévenir ces vulnérabilités.

📄 Présentation

🔗 Télécharger la présentation (PPTX)

🔗 Télécharger la présentation (PDF)

Technologies & Compétences

  • Attaques par Prompt Injection
  • Sécurité & Éthique des LLM
  • Giskard 🐢 (framework open source de tests)

About

🎓 As part of a course project with a classmate, we explored prompt injection attacks by directly interacting with large language models (LLMs) to understand their vulnerabilities. We also presented how the open-source tool Giskard can help secure these models through automated testing and vulnerability detection.

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