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---
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license: mit
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---
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license: mit
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language:
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- en
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tags:
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- not-for-all-audiences
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size_categories:
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- 1K<n<10K
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---
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## Overview
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The **StakcMIAsub** dataset serves as a benchmark for membership inference attack (MIA) topic. **StackMIAsub** is build based on the [Stack Exchange](https://archive.org/details/stackexchange) corpus, which is widely used for pre-training. See our paper (to-be-released) for detailed description.
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## Applicability
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Our dataset supports most white- and black-box models, which are released before May 2024 and pretrained with Stack Exchange corpus:
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- **Black-box OpenAI models:**
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- *text-davinci-001*
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- *text-davinci-002*
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- *...*
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- **White-box models:**
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- *LLaMA and LLaMA2*
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- *Pythia*
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- *GPT-Neo*
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- *GPT-J*
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- *OPT*
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- *StableLM*
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- Falcon*
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- *...*
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## Related repo
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To run our PAC method to perform membership inference attack, visit our [code repo](https://github.com/yyy01/PAC)
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## Cite our work
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⭐️ If you find our dataset helpful, please kindly cite our work :
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```bibtex
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to-be-released
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```
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