arXiv cs.AI
· Papers
JUMP: Single-Pass Membership Inference on Fine-Tuned Diffusion Language Models
arXiv:2607.16207v1 Announce Type: new Abstract: Membership inference attacks (MIAs) test whether a candidate example appeared in a model's training data. We study MIAs for fine-tuned discrete diffusion language models (dLLMs), where membership means inclusion in the target model's fine-tuning set. Unlike autoregressive