(Thanks, Dr Lowd.)
Note that the confidence for the panda label is way lower than the confidence for the gibbon level even!
Image credits: Adversarial examples for AlexNet by Szegedy et. al (2013) and this amazing book.
Image credits: Brown et. al (2017) and this amazing book.
Banana or toaster?
Image credits: Su et. al (2019) and this amazing book
Jellyfish or bathing tub??
pip install cleverhans
pip install git+https://github.com/tensorflow/cleverhans.git#egg=cleverhans
Based on targets, there are two:
from cleverhans.attacks import FastGradientMethod
Quite a basic method. Foundation for advanced attacks.
Advancement upon the previous.
To my project: ping me on Github/ LinkedIn
To Cleverhans ! Check out the issues.
Read the contributing guidelines.
Follow same method for other libs
Find one that matches with your favorite DL framework!