N. Asokan
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126
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2026
Extracting Training Data from Diffusion Language Models via Infilling
The paper introduces 'infilling extraction' to accurately model training data memorization in Diffusion Language Models (DLMs), finding that bidirectional masking significantly increases the extractability of verbatim training data compared to traditional prefix-only methods.
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