byzantine classifiers

Byzantine classifiers refer to machine learning models that intentionally produce incorrect or misleading predictions, typically due to adversarial or malicious influence, instead of providing accurate results. These classifiers deliberately violate their expected behavior and can pose significant threats to data security and algorithmic decision-making systems.

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