AI Data Poisoning Attacks: Types, Examples, and Prevention
An attacker inserts mislabeled or manipulated examples into a training dataset, causing the model to learn flawed logic. In 2024, academic teams demonstrated indirect poisoning in RAG systems, showing how subtle injections could distort GenAI responses. Initial studies focused on simple label flipping and input manipulation, primarily in image classification tasks. And once a model …
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