In this post we will explore Generative Adversarial Networks (GANs) to create fake husky images. The goal is, of course, to have “Husky AI” misclassify them as real huskies.
If you want to learn more about Husky AI visit the Overview post.
Generative Adversarial Networks One of the attacks I wanted to investigate for a while was the creation of fake images to trick Husky AI. The best approach seemed by using Generative Adversarial Networks (GANs).
There are plenty of examples of artificial intelligence and machine learning systems that made it into the news because of biased predictions and failures.
Here are a few examples on AI/ML gone wrong:
Amazon had an AI recruiting tool which favored men over women for technical jobs The Microsoft chat bot named “Tay” which turned racist and sexist rather quickly A doctor at the Jupiter Hospital in Florida referred to IBM’s AI system for helping recommend cancer treatments as “a piece of sh*t” Facebook’s AI got someone arrested for incorrectly translating text The list of AI failures goes on…
Digital platforms are increasingly essential for banking, which means access control is an increasing focus for security. F5 Labs' Shahnawaz Backer writes for CXOtoday, describing some of the current thinking towards balancing access and convenience for users.