Mitigating Private Data Leakage in LLMs with Whiteout

arXiv:2610.02418v1 Announce Type: new Abstract: Modern large language models (LLMs) are trained on massive, largely unfiltered datasets, including content scraped from nearly every accessible website and user inputs. As a result, LLMs often memorize and reproduce personally sensitive information (PSI) such as birth dates, phone numbers, and home addresses.

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