<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Prompt-Injection on Noureddine RAMDI</title><link>https://ramdi.fr/tags/prompt-injection/</link><description>Recent content in Prompt-Injection on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/prompt-injection/index.xml" rel="self" type="application/rss+xml"/><item><title>DeepTeam: A Python framework for adversarial red teaming of large language models</title><link>https://ramdi.fr/github-stars/deepteam-a-python-framework-for-adversarial-red-teaming-of-large-language-models/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/deepteam-a-python-framework-for-adversarial-red-teaming-of-large-language-models/</guid><description>DeepTeam is a Python tool for red teaming LLMs by dynamically generating adversarial attacks and evaluating vulnerabilities like bias. It requires minimal setup and no predefined datasets.</description></item><item><title>AI penetration testing knowledge base: structured resources for LLM security research</title><link>https://ramdi.fr/github-stars/ai-penetration-testing-knowledge-base-structured-resources-for-llm-security-research/</link><pubDate>Mon, 04 May 2026 10:09:00 +0000</pubDate><guid>https://ramdi.fr/github-stars/ai-penetration-testing-knowledge-base-structured-resources-for-llm-security-research/</guid><description>A curated repository for AI/LLM penetration testing covering prompt injection, adversarial ML, and LLM red teaming with the OWASP LLM Top 10 framework.</description></item></channel></rss>