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Poster: A Preliminary Study of LLM Distillation Inference

Chen, Edward et al.
arXiv (All) · Papers
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cryptography-and-securitymachine-learning
Unauthorized model distillation, in which a model is trained on the outputs of a proprietary large language model (LLM), is a growing threat to model providers. We study distillation inference: determining whether a suspect model was distilled from another model or trained independently. We formulat
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