Adversaries can scalably extract gigabytes of training data from open, semi-open, and closed language models via querying attacks, including a divergence method that increases extraction rates 150x on aligned models like ChatGPT.
Prior to his governorship, Cooper had served as the elected Attorney General of
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Scalable Extraction of Training Data from (Production) Language Models
Adversaries can scalably extract gigabytes of training data from open, semi-open, and closed language models via querying attacks, including a divergence method that increases extraction rates 150x on aligned models like ChatGPT.