Platform guide
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Analyze your models
Artifacts
Defense Model
2min
You can download the defense model itself. It will include the following files:
app.py
app_log.py
config.yaml
defense_model.h5
defense_model.onnx
deployment.yaml
docker-compose.yaml
Dockerfile
predict.py
Readme.txt
- app.py : The core application logic for the defense model.
- app_log.py : A logging module for effective monitoring.
- config.yaml : A configuration file for customizing the defense model settings.
- defense_model.h5 : The defense model itself in HDF5 format.
- defense_model.onnx : An alternative format of the defense model in ONNX.
- deployment.yaml : If you plan to deploy on Kubernetes, this configuration file is included.
- docker-compose.yaml : For Docker container deployment, this file is provided.
- Dockerfile : Required for building the Docker image.
- predict.py : A script to make predictions using the defense model.
- Readme.txt : Comprehensive documentation with instructions.
You can view the sample vulnerbility dashboard to view all the artifacts.
To see sample defense model for respective attack types, refer the below table.
Input type | Defense model |
---|---|
Image classification | |
Object Detection | Evasion |
Tabular classification | |
Time series forecasting |
Explore our detailed deployment guide at Defense deployment for step-by-step instructions on deploying the defense model.
Updated 02 Jul 2024
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