Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks

2024-01-16 · ICLR 2024 spotlight · anchor

Findings

IC-715Factual information deleted from GPT-J, LLaMA-2, and GPT-2-XL via ROME or MEMIT remains linearly recoverable from intermediate hidden states, with up to 89% extraction success at budget b=20
IC-716Factual information deleted from GPT-J, LLaMA-2, and GPT-2-XL via ROME or MEMIT is recoverable by sampling outputs on automatically generated rephrased prompts, with up to 56% extraction success at budget b=20