Attackers no longer need direct access to production systems when they can taint training sets and push models off course. Data poisoning refers to corrupting or crafting samples in training data, so models internalize harmful patterns, misclassify targets, or behave differently when a hidden trigger appears. Teams that train or fine tune large models from […]
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