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VOOZH | about |
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VOOZH | about |
AI Technical Writer
As LLMs continue to power everything from chatbots to decision-making systems, the security risks surrounding them are growing just as fast.
A recent research shows that one of the most dangerous threats today is LLM poisoning, where attackers manipulate training data, fine-tuning pipelines, or retrieval sources to change how the model behaves.
Unlike prompt injection, which happens at inference time, LLM poisoning corrupts the model itself. It affects how it reasons, responds, and makes long-term decisions. This makes poisoning one of the hardest-to-detect and most damaging forms of AI compromise.
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With a strong background in data science and over six years of experience, I am passionate about creating in-depth content on technologies. Currently focused on AI, machine learning, and GPU computing, working on topics ranging from deep learning frameworks to optimizing GPU-based workloads.
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