JUMP: Efficient Membership Inference on Fine-Tuned Diffusion Language Models.

arXiv:2607.16207v3 Announce Type: replace Abstract: Membership inference attacks (MIAs) test whether a candidate example was used to train a language model. Existing attacks on fine-tuned discrete diffusion language models (dLLMs) often aggregate reconstructio