Papers with loss-based attacks

1 papers
MoPe: Model Perturbation based Privacy Attacks on Language Models (2023.emnlp-main)

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Challenge: Recent work shows that Large Language Models can unintentionally leak sensitive information . a new method to identify with high confidence if a given text is in training data is proposed .
Approach: They propose a method to detect if a given text is in a pre-trained language model . they show that MoPe is more effective than existing loss-based attacks .
Outcome: The proposed method is more effective than loss-based attacks and perturbation-based methods.

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