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@@ -542,7 +542,7 @@ ICML 2023 - On Strengthening and Defending Graph Reconstruction Attack with Mark
| 2022 | Recovering Private Text in Federated Learning of Language Models | white-box | NeurIPS | [paper](https://arxiv.org/pdf/2205.08514.pdf) | [code](https://github.com/princeton-sysml/film) | | 2022 | Recovering Private Text in Federated Learning of Language Models | white-box | NeurIPS | [paper](https://arxiv.org/pdf/2205.08514.pdf) | [code](https://github.com/princeton-sysml/film) |
| 2023 | Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence | black-box | ACL | [paper](https://arxiv.org/pdf/2305.03010.pdf) | [code](https://github.com/hkust-knowcomp/geia) | | 2023 | Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence | black-box | ACL | [paper](https://arxiv.org/pdf/2305.03010.pdf) | [code](https://github.com/hkust-knowcomp/geia) |
| 2023 | Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models | white-box | Arxiv | [Paper](https://arxiv.org/pdf/2306.13789.pdf) | | | 2023 | Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models | white-box | Arxiv | [Paper](https://arxiv.org/pdf/2306.13789.pdf) | |
| 2023 | Do Membership Inference Attacks Work on Large Language Models? | white-box | Arxiv | [Paper](https://arxiv.org/pdf/2402.07841.pdf) | | | 2024 | Do Membership Inference Attacks Work on Large Language Models? | white-box | Arxiv | [Paper](https://arxiv.org/pdf/2402.07841.pdf) | |
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USENIX Security 2020 - Extracting Training Data from Large Language Models USENIX Security 2020 - Extracting Training Data from Large Language Models