Uploaded October 2019 | Updated September 2026, 2 weeks ago
Machine Learning technology isn't perfect, it's vulnerable to many different types of attacks! In this episode, I'll explain 2 common types of attacks and 2 common types of defenses using various code demos from across the Web. There's some really dope mathematics involved with adversarial attacks, and it was a lot of fun reading about the 'cat and mouse' game between new attack techniques, followed by new defense techniques. I encourage anyone new to the field who finds this stuff interesting to learn more about it. I definitely plan to. Let's look into some math, code, and examples. Enjoy!
Slideshow for this video:
colab.research.google.com/drive/19N9VWTukXTPUj9eukeie55XIu3HKR5TT
Demo project:
github.com/jaxball/advis.js
INSTAGRAM: bit.ly/312pLUb
FACEBOOK: bit.ly/2OqOhx1
TWITTER: bit.ly/2OHYLbB
WEBSITE: bit.ly/2OoVPQF
The CleverHans Library:
github.com/tensorflow/cleverhans
Are you a total beginner to machine learning? Watch this:
youtube.com/watch?v=Cr6VqTRO1v0
My AI Startup video:
youtube.com/watch?v=NzmoPqte4V4
Gradient Descent Explained:
youtube.com/watch?v=XdM6ER7zTLk
Generative Adversarial Networks Explained:
youtube.com/watch?v=yz6dNf7X7SA
Join us in the Wizards Slack channel:
wizards.herokuapp.com
Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
Join us at the School of AI:
theschool.ai
Signup for my newsletter for exciting updates in the field of AI:
goo.gl/FZzJ5w
And please support me on Patreon:
patreon.com/user?u=3191693 Join my AI community: chatgptschool.io Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz
Machine Learning technology isn't perfect, it's vulnerable to many different types of attacks! In this episode, I'll explain 2 common types of attacks and 2 common types of defenses using various code demos from across the Web. There's some really dope mathematics involved with adversarial attacks, and it was a lot of fun reading about the 'cat and mouse' game between new attack techniques, followed by new defense techniques. I encourage anyone new to the field who finds this stuff interesting to learn more about it. I definitely plan to. Let's look into some math, code, and examples. Enjoy!
Slideshow for this video:
colab.research.google.com/drive/19N9VWTukXTPUj9eukeie55XIu3HKR5TT
Demo project:
github.com/jaxball/advis.js
INSTAGRAM: bit.ly/312pLUb
FACEBOOK: bit.ly/2OqOhx1
TWITTER: bit.ly/2OHYLbB
WEBSITE: bit.ly/2OoVPQF
The CleverHans Library:
github.com/tensorflow/cleverhans
Are you a total beginner to machine learning? Watch this:
youtube.com/watch?v=Cr6VqTRO1v0
My AI Startup video:
youtube.com/watch?v=NzmoPqte4V4
Gradient Descent Explained:
youtube.com/watch?v=XdM6ER7zTLk
Generative Adversarial Networks Explained:
youtube.com/watch?v=yz6dNf7X7SA
Join us in the Wizards Slack channel:
wizards.herokuapp.com
Hit the Join button above to sign up to become a member of my channel for access to exclusive live streams!
Join us at the School of AI:
theschool.ai
Signup for my newsletter for exciting updates in the field of AI:
goo.gl/FZzJ5w
And please support me on Patreon:
patreon.com/user?u=3191693 Join my AI community: chatgptschool.io Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz
