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+# AI Model Vulnerabilities: Backdoors in LLMs and Beyond
+
+- Author: Stefano Rossi ([www.rossistefano.ch](https://www.rossistefano.ch))
+- Publish Date: _2025-05-04_
+- Last Update: _2025-05-04_
+
+## Keywords
+
+`AI`, `LLM`, `backdoor`, `prompt injection`, `vulnerability`, `security`, `machine learning`, `adversarial attack`, `data poisoning`, `python`, `tutorial`, `example`, `demo`, `research`, `study`, `overview`, `detection`, `defense`, `mitigation`, `CVSS`
+
+## Description
+
+This personal research explores abuses and vulnerabilities in AI models, with a focus on backdoor attacks in Large Language Models (LLMs) and related systems.
+
+The main content is the Jupyter Notebook [Abuses and Vulnerabilities in AI Models.ipynb](Abuses_and_Vulnerabilities_in_AI_Models.ipynb), which provides:
+
+*   An overview of backdoor attacks during training and inference.
+*   Discussion of prompt injection and other vulnerabilities.
+*   Methods for detecting and defending against backdoors.
+*   A practical demonstration of a backdoor attack on a text classifier, including code and analysis.
+*   References to relevant research papers.
+*   A summary of the CVSS (Common Vulnerability Scoring System) for evaluating the severity of vulnerabilities.
+
+See the notebook for a detailed exploration of these topics. Or get pdf version [Abuses and Vulnerabilities in AI Models.pdf](Abuses_and_Vulnerabilities_in_AI_Models_Backdoors_in_LLMs_and_Beyond.pdf) is also available.
+
+## Slides
+
+A presentation summarizing the research is available at the following link: [AI Model Vulnerabilities: Backdoors in LLMs and Beyond](https://example.com/slides)
+
+To deploy locally, using pnpm and slidev, run the following commands:
+
+```bash
+pnpm install
+pnpm dev
+```
+
+##  Copyright
+
+This work is licensed under the [Creative Commons Attribution-NonCommercial 4.0 International License](https://creativecommons.org/licenses/by-nc/4.0/). You are free to share and adapt the material, but you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may not use the material for commercial purposes.