task_categories:text-to-image size_categories:10K<n<100K language:en license:mit membership latent diffusion arxiv:2306.12983 region:us
---
dataset_info:
  features:
  - name: url
    dtype: string
  - name: caption
    dtype: string
  splits:
  - name: members
    num_bytes: 2192248
    num_examples: 13396
  - name: nonmembers
    num_bytes: 4395869
    num_examples: 26874
  download_size: 5044720
  dataset_size: 6588117
license: mit
task_categories:
- text-to-image
language:
- en
tags:
- membership
- latent diffusion
pretty_name: LAION-mi
size_categories:
- 10K<n<100K
---
# Dataset Card for "LAION-mi"

This is a dataset from Towards More Realistic Membership Inference Attacks on Large Diffusion Models, [link](https://arxiv.org/abs/2306.12983).

We provide a robust evaluation setup for membership inference attacks on a state-of-the-art Stable Diffusion model and publish the corresponding dataset along with the proposed setup.

# Citing

If you find our work useful in your research, please cite as 

```
@misc{dubiński2023realistic,
      title={Towards More Realistic Membership Inference Attacks on Large Diffusion Models}, 
      author={Jan Dubiński and Antoni Kowalczuk and Stanisław Pawlak and Przemysław Rokita and Tomasz Trzciński and Paweł Morawiecki},
      year={2023},
      eprint={2306.12983},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}
```