Membership Inference Attacks With Token-Level Deduplication on Korean Language Models
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DOI: 10.1109/access.2023.3239668
Abstract: The confidentiality threat against training data has become a significant security problem in neural language models. Recent studies have shown that memorized training data can be extracted by injecting well-chosen prompts into generative language models.… read more here.
Keywords: token level; language; attack; language models ... See more keywords