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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: about 2 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 (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2021-01-13T08:49:14.000Z (over 3 years ago)
- Last Synced: 2024-01-26T20:35:38.469Z (4 months ago)
- Topics: abstract-interpretation, attack, defense, neural-network, pytorch, robust
- Language: Python
- Homepage: https://arxiv.org/abs/1903.12519
- Size: 1.23 MB
- Stars: 217
- Watchers: 16
- Forks: 26
- Open Issues: 1
Lists
- Awesome-pytorch-list - DiffAI
- Awesome-pytorch-list-CNVersion - DiffAI