Nader Sehatbakhsh

GRASP: Reinforcing Language Model Anonymizers with Group Relative Policy Optimization

A single small model acts as anonymizer, adversary, and utility judge, trained against a self-generated reward that hides attributes while preserving meaning, with a design that guards against reward hacking.