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This is an image classification system for HW1 of Security and Privacy of Machine Learning.
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Five adversarially trained models are provided for evaluating images uploaded by users.
- Students need to generate adversarial examples (images) with enough attacking strength to make pre-trained models mis-classify.
- Each submission is in .zip format containing no more than 500 images.
- Each student has only 10 submissions per day.
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An csv file of the classification results on each submitted image will be provided after each submission.
Log In | Create an account | Authorized page |
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Password reset | Set new password | Password change |
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git clone https://github.com/shiannn/SPML-query-system.git
cd SPML-query-system
virtualenv -p <Path to Your Python> env
source env/bin/activate
python -m pip install -r requirements.txt
python source/manage.py migrate
python source/manage.py collectstatic
python source/manage.py runserver
The codebase of the registration and login is highly borrowed from Yehor Smoliakov