2026
Operationalizing Data Minimization for Privacy-Preserving LLM Prompting
ICLR 2026poster
The rapid deployment of large language models (LLMs) in consumer applications has led to frequent exchanges of personal information. To obtain useful responses, users often share more than necessary, increasing privacy risks via memorization, context-based personalization, or security breaches. We p…