https://github.com/eth-sri/diffai
A certifiable defense against adversarial examples by training neural networks to be provably robust
https://github.com/eth-sri/diffai
abstract-interpretation attack defense neural-network pytorch robust
Last synced: 4 months ago
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A certifiable defense against adversarial examples by training neural networks to be provably robust
- Host: GitHub
- URL: https://github.com/eth-sri/diffai
- Owner: eth-sri
- License: mit
- Created: 2018-07-08T16:59:42.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2021-01-13T08:49:14.000Z (almost 5 years ago)
- Last Synced: 2024-05-08T00:15:48.712Z (over 1 year ago)
- Topics: abstract-interpretation, attack, defense, neural-network, pytorch, robust
- Language: Python
- Homepage: https://arxiv.org/abs/1903.12519
- Size: 1.23 MB
- Stars: 218
- Watchers: 16
- Forks: 26
- Open Issues: 1
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