PrivDrift: Auditing User-Secret Leakage Under Topic Drift in Active LLM Conversations
PrivDrift is introduced, a benchmark for auditing whether user-disclosed secrets remain recoverable after conversational topic drift and persuasion-based probing, suggesting that privacy risk in active LLM contexts should be evaluated as a persistent behavioral failure mode rather than only as training-data memorizatio...