Distillation Defenses Easily Break After Reinforcement Learning.

arXiv:2609.35699v1 Announce Type: cross Abstract: Distillation attacks copy the reasoning capabilities of closed-source large language models, allowing bad actors to replicate state-of-the-art performance at low cost. Attackers systematically collect a large v