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Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning
Machine unlearning aims to remove the influence of specified training data or knowledge from a trained model without requiring full retraining. This capability is particularly important for modern image classifiers and large language models (LLMs), where retraining can be computationally expensive.
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