diff --git a/README.md b/README.md
index 54e4992..8bd6ff4 100644
--- a/README.md
+++ b/README.md
@@ -10,6 +10,7 @@ If you would like to use Fawkes to protect your identity, please check out our b
 
 Copyright
 ---------
+
 This code is intended only for personal privacy protection or academic research. 
 
 We are currently exploring the filing of a provisional patent on the Fawkes algorithm. 
@@ -39,11 +40,13 @@ when --mode is `custom`:
 `fawkes -d ./imgs --mode mid`
 
 ### 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]`. 
 
-### How do I know my images are secure? 
+### 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. 
 
 Quick Installation
@@ -57,9 +60,10 @@ pip install fawkes
 
 If you don't have root privilege, please try to install on user namespace: `pip install --user fawkes`.
 
-
+[pypi_fawkes]: https://pypi.org/project/fawkes/
 
 ### Citation
+
 ```
 @inproceedings{shan2020fawkes,
   title={Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models},