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TRACE: Attack Reconstructs Supposedly Unlearned LLM Training Data
- Engineer — Learn: Novel research showing that maintaining pre/post unlearning model snapshots creates a recoverable side channel — relevant if you operate LLMs with approximate unlearning workflows. No patch exists; redesign signal is to avoid retaining both snapshots together or treat unlearning as non-binding from a data-exposure standpoint.
- SOC/IR — Skip
- Leader — Learn: Organizations using approximate LLM unlearning to satisfy GDPR right-to-erasure or similar data removal obligations may be overstating compliance guarantees — this research undermines the privacy claim of that approach. Worth flagging to DPO and AI governance leads if the company relies on unlearning in customer-data contexts.
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