Oct 31, 2022 · We argue that verbatim memorization definitions are too restrictive and fail to capture more subtle forms of memorization. Specifically, we ...
Studying data memorization in neural language models helps us understand the risks (e.g., to privacy or copyright) associated with models regurgitating training ...
1 Introduction. The ability of neural language models to memo- rize their training data has been studied extensively. (Kandpal et al., 2022; Lee et al., ...
Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy · Figures and Tables · Topics · Ask This Paper · 15 Citations · 46 ...
We argue that verbatim memorization definitions are too restrictive and fail to capture more subtle forms of memorization. Specifically, we design and implement ...
Preventing Verbatim Memorization in Language Models Gives a False ...
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It is argued that verbatim memorization def-initions are too restrictive and fail to capture more subtle forms of memorization, and potential alternative ...
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Figure 2: Honest “style-transfer” prompts evade verbatim memorization filters. Trivially modifying prompts causes GitHub's Copilot language model to.
Studying data memorization in neural language models helps us understand the risks (e.g., to privacy or copyright) associated with models regurgitating training ...
Nov 1, 2022 · Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy Argues that verbatim memorization definitions are too ...
Nov 2, 2023 · The paper Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy has highlighted this trend by showing that not only ...