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Loss is Not Behavior: A Unified Output-Space Analysis of Gradient-Based Machine Unlearning
Gradient-based machine unlearning methods typically ``unlearn'' by optimizing forget and retain losses, but similar losses do not necessarily imply similar output-space behavior. Prior work has shown that high forget loss alone does not certify that unlearning has produced retraining-like output beh
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