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Bosch's Model Extraction Attack For Video Classification

Team 17 - IIT Indore

Inter IIT Tech Meet 10.0

Folder Structure

  • BlackBox_P1: Contains scripts for training the extracted model from SwinT victim under the Black Box setting. Refer to setup_readme within the folder for detailed instructions on running the code for training.

  • BlackBox_P2: Contains scripts for training the extracted model from MoViNet victim under the Black Box setting. Refer to setup_readme within the folder for detailed instructions on running the code for training.

  • GreyBox_P1: Contains scripts for training the extracted model from SwinT victim under the Grey Box setting. Refer to setup_readme within the folder for detailed instructions on running the code for training.

  • GreyBox_P2: Contains scripts for training the extracted model from MoViNet victim under the Grey Box setting. Refer to setup_readme within the folder for detailed instructions on running the code for training.

  • Evaluation_All - Contains Jupyter Notebooks for evaluation. Refer to eval_readme within the folder to get information on the setup and run environment.

Running Environment

Training codes were run on a single server equipped with NVIDIA V100 GPU. Evaluations codes were run on Google Colaboratory with a Pro Plus subscription.

Contributors

  • Anup Kumar Gupta
  • Rupesh Kumar
  • Aryan Rastogi
  • Siddesh Shelke
  • Hasan Mustafa
  • Safdar Inamdar
  • Tanishq Selot
  • Ashutosh Nayak

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  • Jupyter Notebook 69.9%
  • Python 29.4%
  • Other 0.7%