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$ aisdc gen-attack tool that produces the attack config attack.yaml for running attacks on the CLI
$ aisdc gen-target tool that produces the directory target_dir/ that contains a target.yaml and model/data files for running attacks on the CLI
subsequently running $ aisdc run target_dir/ attack.yaml executes the attacks and generates a report
These tools need to be improved and extended to provide a better user experience, such as more graceful exiting, and support for different scenarios when the model was not trained in Python, and where the data may be large and not able to be copied and also to handle various preprocessing situations. It seems likely that the aisdc/attacks/target.py will also need to be modified and an aisdc/attacks/model.py may need to be created to wrap target models to encapsulate non-scikit-learn models with fit(), predict() etc. functions that the attacks can assume exists.
The text was updated successfully, but these errors were encountered:
As of
1.2.0
the CLI prompt tools were added:$ aisdc gen-attack
tool that produces the attack configattack.yaml
for running attacks on the CLI$ aisdc gen-target
tool that produces the directorytarget_dir/
that contains atarget.yaml
and model/data files for running attacks on the CLI$ aisdc run target_dir/ attack.yaml
executes the attacks and generates a reportThese tools need to be improved and extended to provide a better user experience, such as more graceful exiting, and support for different scenarios when the model was not trained in Python, and where the data may be large and not able to be copied and also to handle various preprocessing situations. It seems likely that the
aisdc/attacks/target.py
will also need to be modified and anaisdc/attacks/model.py
may need to be created to wrap target models to encapsulate non-scikit-learn models withfit()
,predict()
etc. functions that the attacks can assume exists.The text was updated successfully, but these errors were encountered: