AINeutralarXiv – CS AI · 2h ago7/10
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RULER: Representation-Level Verification of Machine Unlearning
Researchers introduce RULER, a verification framework that detects machine unlearning failures at the representation level rather than just output metrics. The study reveals that popular unlearning methods pass traditional evaluation tests yet still retain encoded information about forgotten data in their internal representations, highlighting a critical gap in current verification protocols.