https://github.com/emaballarin/carso
👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)
https://github.com/emaballarin/carso
adversarial-defense adversarial-machine-learning adversarial-robustness artificial-intelligence artificial-neural-networks cognitive-computing deep-learning deep-neural-networks machine-learning neural-network neural-networks neural-representation neural-representations neuro-inspired robust-machine-learning robustness variational-autoencoder variational-method
Last synced: about 1 year ago
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👀🛡️ Code for the paper “Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness” by Emanuele Ballarin, Alessio Ansuini and Luca Bortolussi (2024)
- Host: GitHub
- URL: https://github.com/emaballarin/carso
- Owner: emaballarin
- License: mit
- Created: 2022-09-03T01:43:38.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-12-11T16:57:42.000Z (over 1 year ago)
- Last Synced: 2025-03-27T17:51:59.107Z (about 1 year ago)
- Topics: adversarial-defense, adversarial-machine-learning, adversarial-robustness, artificial-intelligence, artificial-neural-networks, cognitive-computing, deep-learning, deep-neural-networks, machine-learning, neural-network, neural-networks, neural-representation, neural-representations, neuro-inspired, robust-machine-learning, robustness, variational-autoencoder, variational-method
- Language: Python
- Homepage: https://arxiv.org/abs/2306.06081
- Size: 39.1 KB
- Stars: 6
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# *Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness*
Code for model training, evaluation, and reproduction of the experiments contained in the [paper *“Carefully Blending Adversarial Training and Purification Improves Adversarial Robustness”*](https://bucket.ballarin.cc/aimldl/carso2024cnn/paper/carso_2024_05_paper_final.pdf) by [Emanuele Ballarin](https://ballarin.cc), [Alessio Ansuini](https://www.areasciencepark.it/piattaforme-tecnologiche-update-2023/il-team/alessio-ansuini/) and [Luca Bortolussi](https://ai-lab.units.it/?page_id=139) (2024).
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*Instructions for reproducibility* can be found in [REPRO.md](./REPRO.md)