cleverhans
Transformer-MM-Explainability
| cleverhans | Transformer-MM-Explainability | |
|---|---|---|
| 3 | 3 | |
| 6,079 | 704 | |
| 1.2% | - | |
| 0.0 | 0.0 | |
| 21 days ago | 8 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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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?
Transformer-MM-Explainability
What are some alternatives?
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explainerdashboard - Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
aws-security-workshops - A collection of the latest AWS Security workshops
shap - A game theoretic approach to explain the output of any machine learning model.
uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
clip-italian - CLIP (Contrastive Language–Image Pre-training) for Italian
pytea - PyTea: PyTorch Tensor shape error analyzer