From 3fc05053c0257025d5c5428b55c03ff3cf5fff06 Mon Sep 17 00:00:00 2001 From: Shawn Shan Date: Sun, 26 Jul 2020 14:47:03 -0500 Subject: [PATCH 1/4] Update README.md --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 54e4992..192dc4e 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,11 @@ Fawkes ------ -Fawkes is a privacy protection system developed by researchers at [SANDLab](http://sandlab.cs.uchicago.edu/), University of Chicago. For more information about the project, please refer to our project [webpage](http://sandlab.cs.uchicago.edu/fawkes/). Contact as at fawkes-team@googlegroups.com. +Fawkes is a privacy protection system developed by researchers at [SANDLab](https://sandlab.cs.uchicago.edu/), University of Chicago. For more information about the project, please refer to our project [webpage](https://sandlab.cs.uchicago.edu/fawkes/). Contact as at fawkes-team@googlegroups.com. We published an academic paper to summarize our work "[Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models](https://www.shawnshan.com/files/publication/fawkes.pdf)" at *USENIX Security 2020*. -If you would like to use Fawkes to protect your identity, please check out our binary implementation on the [website](http://sandlab.cs.uchicago.edu/fawkes/#code). +If you would like to use Fawkes to protect your identity, please check out our binary implementation on the [website](https://sandlab.cs.uchicago.edu/fawkes/#code). Copyright @@ -49,7 +49,7 @@ We are actively working on this. Python script that can test the protection effe Quick Installation ------------------ -Install from [PyPI][pypi_fawkes]: +Install from [PyPI](https://pypi.org/project/fawkes/): ``` pip install fawkes From 32c2dfcdb4e68449f88a9cc267a9be5cfb32461d Mon Sep 17 00:00:00 2001 From: Shawn Shan Date: Sun, 26 Jul 2020 19:20:24 -0500 Subject: [PATCH 2/4] Update README.md --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 192dc4e..e27a518 100644 --- a/README.md +++ b/README.md @@ -5,7 +5,8 @@ Fawkes is a privacy protection system developed by researchers at [SANDLab](http We published an academic paper to summarize our work "[Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models](https://www.shawnshan.com/files/publication/fawkes.pdf)" at *USENIX Security 2020*. -If you would like to use Fawkes to protect your identity, please check out our binary implementation on the [website](https://sandlab.cs.uchicago.edu/fawkes/#code). +NEW! If you would like to use Fawkes to protect your identity, please check out our software and binary implementation on the [website](https://sandlab.cs.uchicago.edu/fawkes/#code). + Copyright From 24c3d3f26a26e2cebedfa6b1e998890b6385949e Mon Sep 17 00:00:00 2001 From: Shawn Shan Date: Sun, 26 Jul 2020 20:38:40 -0500 Subject: [PATCH 3/4] Update README.md --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index e27a518..609b733 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ Fawkes ------ -Fawkes is a privacy protection system developed by researchers at [SANDLab](https://sandlab.cs.uchicago.edu/), University of Chicago. For more information about the project, please refer to our project [webpage](https://sandlab.cs.uchicago.edu/fawkes/). Contact as at fawkes-team@googlegroups.com. +Fawkes is a privacy protection system developed by researchers at [SANDLab](https://sandlab.cs.uchicago.edu/), University of Chicago. For more information about the project, please refer to our project [webpage](https://sandlab.cs.uchicago.edu/fawkes/). Contact us at fawkes-team@googlegroups.com. We published an academic paper to summarize our work "[Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models](https://www.shawnshan.com/files/publication/fawkes.pdf)" at *USENIX Security 2020*. @@ -41,11 +41,11 @@ when --mode is `custom`: ### Tips - The perturbation generation takes ~60 seconds per image on a CPU machine, and it would be much faster on a GPU machine. Use `batch-size=1` on CPU and `batch-size>1` on GPUs. -- Turn on separate target if the images in the directory belong to different person, otherwise, turn it off. -- Run on GPU. The current fawkes package and binary does not support GPU. To use GPU, you need to clone this, install the required packages in `setup.py`, and replace tensorflow with tensorflow-gpu. Then you can run fawkes by `python3 fawkes/protection.py [args]`. +- Turn on separate target if the images in the directory belong to different people, otherwise, turn it off. +- Run on GPU. The current Fawkes package and binary does not support GPU. To use GPU, you need to clone this, install the required packages in `setup.py`, and replace tensorflow with tensorflow-gpu. Then you can run Fawkes by `python3 fawkes/protection.py [args]`. ### How do I know my images are secure? -We are actively working on this. Python script that can test the protection effectiveness will be ready shortly. +We are actively working on this. Python scripts that can test the protection effectiveness will be ready shortly. Quick Installation ------------------ From 07062d64cd0dab8a9c1aa07aa96cfcafc5d59e2b Mon Sep 17 00:00:00 2001 From: Shawn Shan Date: Sun, 26 Jul 2020 22:17:02 -0500 Subject: [PATCH 4/4] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 609b733..49c7754 100644 --- a/README.md +++ b/README.md @@ -37,7 +37,7 @@ when --mode is `custom`: ### Example -`fawkes -d ./imgs --mode mid` +`fawkes -d ./imgs --mode low` ### Tips - The perturbation generation takes ~60 seconds per image on a CPU machine, and it would be much faster on a GPU machine. Use `batch-size=1` on CPU and `batch-size>1` on GPUs.