AI
Security
Defense Against Adversarial Attacks
-
Frank
- October 2, 2019
- Adversarial Networks
- adversarial training
- colab
- convolutional network
- Cybersecurity
- Education
- generative adversarial networks
- generative modeling
- Gradient Descent
- Javascript
- Math
- Mathematics
- maths
- Neural Network
- Numpy
- Nvidia
- Python
- PyTorch
- React
- react.js
- Security
- Siraj Raval
- TensorFlow
- tensorflow.js
- Tutorial
Siraj Raval just posted this video on defending AI against adversarial attacks 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 […]
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AI
Deep Learning
Neural Networks
Adversarial Attacks on Neural Networks
Two Minute Papers explores the paper “Adversarial Examples Are Not Bugs, They Are Features” in this video.
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AI
Neural Networks
How Neural Networks Learn (Part 2)
In this video, Arxiv continues his dive into the world of adversarial examples: images specifically engineered to fool neural networks into making completely wrong decisions! This is a continuation from my previous post.
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