cleverhans
aws-security-workshops
Our great sponsors
cleverhans | aws-security-workshops | |
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3 | 7 | |
6,008 | 426 | |
0.0% | 0.0% | |
0.0 | 0.0 | |
about 1 year ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT No Attribution |
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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?
aws-security-workshops
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The Testing->Learning REPL and AWS Exams
AWS Security Workshops Guided security labs.
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Useful AWS Training Resources
AWS workshops is the main site with 100's of workshops you can follow in areas ranging from astronomy to zero-trust. AWSworkshop.io is focused on modernization workshops and currently has just over 50 labs to follow. AWS Security Workshops as the name indicates is focused purely on security related labs and workshops. AWS Well-Architected Labs has labs in the 5 pillars, hopefully sustainability will be added next year. The goal for these labs is to improve your posture in each area and become "well architected". Control Tower Tools for those of you wanting to gain more insight to AWS Control Tower this is the place to be. It's based on the immersion day but has so much more including integration with ITSM tools and customizations.
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Hosting Your Own Gameday
If you wan to avoid doing that, I'm not aware of any open source challenges but the workshops are a good start https://github.com/aws-samples/aws-security-workshops
What are some alternatives?
terrascan - Detect compliance and security violations across Infrastructure as Code to mitigate risk before provisioning cloud native infrastructure.
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.
advertorch - A Toolbox for Adversarial Robustness Research
AirIAM - Least privilege AWS IAM Terraformer
AIX360 - Interpretability and explainability of data and machine learning models
uncertainty-toolbox - Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
TorchDrift - Drift Detection for your PyTorch Models
pytea - PyTea: PyTorch Tensor shape error analyzer
delve - PyTorch model training and layer saturation monitor
captum - Model interpretability and understanding for PyTorch
WeightWatcher - The WeightWatcher tool for predicting the accuracy of Deep Neural Networks