Papers with likelihood-based classification
Sampling-based Pseudo-Likelihood for Membership Inference Attacks (2025.findings-acl)
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| Challenge: | Large Language Models (LLMs) are trained on large-scale web data, which makes it difficult to grasp the contribution of each text. |
| Approach: | They propose a membership-inference attack method that uses only the input text to detect leaks. |
| Outcome: | The proposed method performs on par with existing likelihood-based methods even without likelihoods. |