https://github.com/alvinwan/tricking-neural-networks
Fooling a neural network with adversarial examples
https://github.com/alvinwan/tricking-neural-networks
adversarial-example adversarial-machine-learning deep-learning tutorial
Last synced: 9 months ago
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Fooling a neural network with adversarial examples
- Host: GitHub
- URL: https://github.com/alvinwan/tricking-neural-networks
- Owner: alvinwan
- License: mit
- Created: 2020-06-08T08:25:21.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2022-06-22T02:15:27.000Z (about 4 years ago)
- Last Synced: 2025-02-01T08:04:26.197Z (over 1 year ago)
- Topics: adversarial-example, adversarial-machine-learning, deep-learning, tutorial
- Language: Python
- Size: 769 KB
- Stars: 3
- Watchers: 2
- Forks: 3
- Open Issues: 2
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# How to Trick a Neural Network
Fooling a neural network with adversarial examples. This repository includes all source code for the tutorial on DigitalOcean with the same title, including:
- adversarial example of corgi that an neural network thinks is a goldfish
- utility to trick any neural network into predicting one class as another
- utility to run an ImageNet-pretrained ResNet18 neural network on any image of your choosing
created by [Alvin Wan](http://alvinwan.com), June 2020