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Update AITG-MOD-02_Testing_for_Runtime_Model_Poisoning.md

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Matteo Meucci
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@@ -38,6 +38,6 @@ This test identifies vulnerabilities associated with runtime model poisoning, wh
- Tool Link: [River on GitHub](https://github.com/online-ml/river)
### References
- OWASP Top 10 for LLM Applications 2025. "LLM04: Data and Model Poisoning." OWASP, 2025. [Link](https://genai.owasp.org/)
- OWASP Top 10 for LLM Applications 2025. "LLM04: Data and Model Poisoning." OWASP, 2025. [Link](https://genai.owasp.org/llmrisk/llm042025-data-and-model-poisoning/)
- NIST AI 100-2e2025, "Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations," Section 2.3 "Poisoning Attacks and Mitigations." NIST, March 2025. [Link](https://doi.org/10.6028/NIST.AI.100-2e2025)
- "Poisoning Attacks on Machine Learning." A. N. Jagielski, et al. [Link](https://arxiv.org/abs/1804.00792)