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@@ -403,7 +403,7 @@ ICML 2023 - On Strengthening and Defending Graph Reconstruction Attack with Mark
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| 2020 | Privacy Risks of General-Purpose Language Models | black & white-box | S&P | [Paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9152761) | |
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| 2020 | Information Leakage in Embedding Models | black & white-box | CCS | [Paper](https://arxiv.org/pdf/2004.00053.pdf) | |
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| 2021 | TAG: Gradient Attack on Transformer-based Language Models | white-box | EMNLP | [Paper](https://arxiv.org/pdf/2103.06819.pdf) | |
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| 2022 | KART: Parameterization of Privacy Leakage Scenarios from Pre-trained Language Models | black-box | Arxiv | [paper](https://arxiv.org/abs/2101.00036v1) | [code](https://github.com/yutanakamura-tky/kart) |
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| 2022 | KART: Parameterization of Privacy Leakage Scenarios from Pre-trained Language Models | black-box | Arxiv | [paper](https://arxiv.org/pdf/2101.00036v1.pdf) | [code](https://github.com/yutanakamura-tky/kart) |
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| 2022 | Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers | white-box | Arxiv | [Paper](https://arxiv.org/pdf/2209.10505.pdf) | |
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| 2022 | Canary Extraction in Natural Language Understanding Models | white-box | ACL | [paper](https://arxiv.org/pdf/2203.13920.pdf) | |
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| 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) |
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