cleverhans
advertorch
| cleverhans | advertorch | |
|---|---|---|
| 3 | 1 | |
| 6,083 | 1,273 | |
| 1.2% | 0.6% | |
| 0.0 | 0.0 | |
| about 1 month ago | 8 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU Lesser General Public License v3.0 only |
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cleverhans
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Clever Hans (Intelligence Misatributon)
I only knew of this story from looking up the name of this library on adversarial DL https://github.com/cleverhans-lab/cleverhans
- [D] DL Practitioners, Do You Use Layer Visualization Tools s.a GradCam in Your Process?
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[D] Does anyone care about adversarial attacks anymore?
I feel as though this area has not received much attention over the last couple of years. The CleverHans project has gone stale and I haven't heard of many new results recently. Has the community lost interest in this area? Did we decide that adversarial attacks aren't such a problem in practical applications?
advertorch
What are some alternatives?
deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
TextAttack - TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
AIX360 - Interpretability and explainability of data and machine learning models
nlpaug - Data augmentation for NLP
aws-security-workshops - A collection of the latest AWS Security workshops
mlattacks - Machine Learning Attack Series
uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
AugMax - [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.
TorchDrift - Drift Detection for your PyTorch Models
timm-vis - Visualizer for PyTorch image models
delve - PyTorch model training and layer saturation monitor
pytea - PyTea: PyTorch Tensor shape error analyzer