2026
Anti-adversarial Learning: Desensitizing Prompts for Large Language Model
AAAI 2026technical
With the widespread use of LLMs, preserving privacy in user prompts has become crucial, as prompts risk exposing private and sensitive data to cloud LLMs. Conventional techniques like homomorphic encryption (HE), secure multi-party computation, and federated learning (FL) are not well-suited to this