Papers by Alina Oprea
User Inference Attacks on Large Language Models (2024.emnlp-main)
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| Challenge: | a large amount of data written by humans is used to train and fine-tune large language models. |
| Approach: | They propose to infer if a user's data was used to train an LLM by using example-level differential privacy. |
| Outcome: | The proposed attacks are easy to employ and only require black-box access to an LLM and a few samples from the user. |