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BARRIER: Bounded Activation Regions for Robust Information Erasure
Machine unlearning aims to remove targeted concepts from a trained model while preserving the rest of its knowledge. Central challenge of this setting is that effective and robust erasure requires extensive parameter updates, which can unintentionally alter representations that should be retained. A
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