Memorization in language models increases log-linearly with model capacity, data duplication count, and prompt context length.
Property inference attacks on fully connected neural networks using permutation invariant representations
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Quantifying Memorization Across Neural Language Models
Memorization in language models increases log-linearly with model capacity, data duplication count, and prompt context length.