aikavach's People
aikavach's Issues
Return binaries with the entire randomized smoothing and other functionalities included
We need to return deployable binaries to our users with all the functionalities that the users opt for on top of the base classifier. The user could then download these from the web platform and use them.
Make the pipeline input image size-agnostic
Currently, the pipeline only takes 32x32-sized images only, making it generalizable.
Add login system and make the platform deployable
Currently, the AIKavach platform can only be deployed on your local device for making it remotely deployable, we need a login system and more changes.
Make the model loading method universal
Currently, the model input and loading method breaks whenever the loaded model requires some different dependencies or needs to be loaded from model class and weight dicts. We need to make a general system to help input and load the models.
Correct equation image for black background.
Convert the equation to LATEX and insert it into README.md at the same place as the image.
Removing cuda requirements
Making changes so that it can also run on cpu
Integrate Patch-Smoothing, local model interpretability techniques and model information loss measurement techniques
Since we are already computing a large number of samples in a given neighbourhood, it would be more advantageous to use this for more applications that could be useful for the user.
Add more options for denoisers
Add multiple options for denoisers with varying computing requirements for different use-cases.
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