
# Perturbed Faces

This dataset contains 1000 images from [CelebA dataset](!https://www.kaggle.com/datasets/jessicali9530/celeba-dataset). For each of the thousand images dataset also has [LowKey](https://openreview.net/forum?id=hJmtwocEqzc) perturbed version and [Fawkes](https://sandlab.cs.uchicago.edu/fawkes/) perturbed version. 
LowKey and Fawkes perturbed images have _attacked & _cloaked at the end of the filename respectively.


| File Name           | Version                  |
|---------------------|--------------------------|
| 000001.jpg          | Original                 |
| 000001_cloaked.png  | Fawkes perturbed version |
| 000001_attacked.png | LowKey perturbed version |


The Fawkes perturbed images are created using CLI provided in the [github repository](https://github.com/Shawn-Shan/fawkes) with protection mode set to mid. The LowKey version of
images are created using Python code provided with the paper.


## Citation
If you found this work helpful for your research, please cite it as following:
```
@misc{2301.07315,
Author = {Aaditya Bhat and Shrey Jain},
Title = {Face Recognition in the age of CLIP & Billion image datasets},
Year = {2023},
Eprint = {arXiv:2301.07315},
}
```
task_categories:feature-extraction task_categories:image-classification task_categories:zero-shot-image-classification size_categories:1K<n<10K arxiv:2301.07315 region:us
{"size_categories": ["1K<n<10K"], "task_categories": ["feature-extraction", "image-classification", "zero-shot-image-classification"], "pretty_name": "Perturbed Faces"}
TAGS
#task_categories-feature-extraction #task_categories-image-classification #task_categories-zero-shot-image-classification #size_categories-1K<n<10K #arxiv-2301.07315 #region-us 

Perturbed Faces
===============


This dataset contains 1000 images from CelebA dataset. For each of the thousand images dataset also has LowKey perturbed version and Fawkes perturbed version.
LowKey and Fawkes perturbed images have \_attacked & \_cloaked at the end of the filename respectively.



The Fawkes perturbed images are created using CLI provided in the github repository with protection mode set to mid. The LowKey version of
images are created using Python code provided with the paper.


If you found this work helpful for your research, please cite it as following:



TAGS
#task_categories-feature-extraction #task_categories-image-classification #task_categories-zero-shot-image-classification #size_categories-1K<n<10K #arxiv-2301.07315 #region-us 

passage: TAGS
#task_categories-feature-extraction #task_categories-image-classification #task_categories-zero-shot-image-classification #size_categories-1K<n<10K #arxiv-2301.07315 #region-us 
