https://github.com/eth-sri/aces
[SRML@ICLR 2022] Robust and Accurate -- Compositional Architectures for Randomized Smoothing
https://github.com/eth-sri/aces
adversarial-machine-learning adversarial-robustness certified-robustness deep-neural-networks randomized-smoothing
Last synced: 9 months ago
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[SRML@ICLR 2022] Robust and Accurate -- Compositional Architectures for Randomized Smoothing
- Host: GitHub
- URL: https://github.com/eth-sri/aces
- Owner: eth-sri
- Created: 2022-03-28T09:35:00.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-03-29T18:46:19.000Z (about 4 years ago)
- Last Synced: 2024-05-08T00:15:48.648Z (about 2 years ago)
- Topics: adversarial-machine-learning, adversarial-robustness, certified-robustness, deep-neural-networks, randomized-smoothing
- Language: Python
- Homepage: https://arxiv.org/abs/2204.00487
- Size: 7.05 MB
- Stars: 2
- Watchers: 6
- Forks: 0
- Open Issues: 0