arXiv cs.AIPaper
Diffusion LLMs as Targets and Adversaries: Mechanistic Safety Exploits
This is a concrete red flag for anyone deploying diffusion-based LLMs like LLaDA or Dream: safety alignment turns out to be a thin, easily located layer that transfers across architectures and can be stripped with targeted pruning. If your roadmap includes diffusion LLMs, budget for alignment work well beyond what worked for autoregressive models, this attack surface is not theoretical.