Optimizing a privacy-preserving LLM delegation pipeline with an LLM-based k-anonymity objective improves quality for most models, but the objective itself contributed little variation and privacy gains are not robustly established.
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Beyond Direct Identifiers: Probabilistic Privacy Risk Estimation for Privacy-Conscious LLM Query Delegation
Optimizing a privacy-preserving LLM delegation pipeline with an LLM-based k-anonymity objective improves quality for most models, but the objective itself contributed little variation and privacy gains are not robustly established.