diff --git a/requirements.txt b/requirements.txt
index 96c1582e..8b57b4ea 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -4,6 +4,6 @@ scipy>=0.14.0
 
 # For robustbench.
 tqdm>=4.56.1 
-requests>=2.25.1
+requests>=2.3.0
 pandas>=1.2.4
 numpy>=1.19.4
diff --git a/setup.py b/setup.py
index 684d5871..8c47c78c 100644
--- a/setup.py
+++ b/setup.py
@@ -1,4 +1,4 @@
-import setuptools
+from setuptools import setup, find_packages
 
 # read the contents of your README file
 from os import path
@@ -6,23 +6,22 @@
 with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
     long_description = f.read()
 
+with open('requirements.txt') as f:
+    requirements = f.read().splitlines()
 
-setuptools.setup(
+setup(
     name = 'torchattacks',
     version = '3.5.1',
     description='Torchattacks is a PyTorch library that provides adversarial attacks to generate adversarial examples.',
     author = 'Harry Kim',
     author_email='24k.harry@gmail.com',
-    packages = setuptools.find_packages(),
+    packages = find_packages(),
     keyword = ['deeplearning', 'adversarial', 'attack', 'pytorch', 'torch',
                'rpgd', 'eotpgd', 'pgd', 'fgsm', 'cw', 'rfgsm', 'ifgsm', 'iterll',
                'bim', 'stepll', 'deepfool', 'trades', 'fast', 'mifgsm',
                'dlr', 'apgd', 'fab', 'square', 'autoattack', 'difgsm', 'pixle'
               ],
-    install_requires=[
-        'torch>=1.7.1', 'torchvision>=0.8.2', 'scipy>=0.14.0', 'tqdm>=4.56.1',
-        'requests~=2.25.1', 'numpy>=1.19.4',
-    ],
+    install_requires=requirements,
     python_requires = '>=3',
     zip_safe = False,
     license="MIT",