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Collateral damage in concept erasure is significantly reduced, allowing for precise edits without compromising related visual information.
QC-SMOTE outperforms traditional methods by ensuring synthetic samples are generated with high reliability, adapting to the local data structure to avoid noise and overlap pitfalls.
