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The data used to train an AI model is vital to understanding its capabilities and risks. But how can we tell whether a model W actually resulted from a dataset D?
In a new paper, we show how to verify models' training-data, incl the data of open-source LMs!arxiv.org/abs/2307.00682
In a new paper, we show how to verify models' training-data, incl the data of open-source LMs!arxiv.org/abs/2307.00682
arxiv.org Tools for Verifying Neural Models' Training Data It is important that consumers and regulators can verify the provenance of large neural models to evaluate their capabilities and risks. We introduce the concept of a "Proof-of-Training-Data": any... 
