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[ISVC'22] We interpret potential attacks in deep learning applications while representing viable defense strategies in the game theory prospect.

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A Game Theoretical Vulnerability Analysis of Adversarial Attack

Published Version

https://link.springer.com/chapter/10.1007/978-3-031-20716-7_29

Citation

@inproceedings{hossain2022game,
  title={A Game Theoretical Vulnerability Analysis of Adversarial Attack},
  author={Hossain, Khondker Fariha and Tavakkoli, Alireza and Sengupta, Shamik},
  booktitle={Advances in Visual Computing: 17th International Symposium, ISVC 2022, San Diego, CA, USA, October 3--5, 2022, Proceedings, Part II},
  pages={369--380},
  year={2022},
  organization={Springer}
}

This code is for our paper "Game-Theoretical-vulnerability-analysis-of-Adversarial-Attack" which has been accpeted in ISVC 2022.

Pre-requisite

  • Ubuntu 18.04 / Windows 7 or later
  • NVIDIA Graphics card

Installation Instruction for Ubuntu

sudo apt-get install pip3 python3-dev
  • Install Tensorflow-Gpu version-2.0.0 and Keras version-2.3.1
sudo pip3 install tensorflow-gpu==2.0.0
sudo pip3 install keras==2.3.1
  • Install packages from requirements.txt
sudo pip3 install -r requirements.txt

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[ISVC'22] We interpret potential attacks in deep learning applications while representing viable defense strategies in the game theory prospect.

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