Skip to content

Code for the experiments conducted for the article "Intractability of Learning the Discrete Logarithm with Gradient-Based Methods"

License

Notifications You must be signed in to change notification settings

armanbolatov/hardness_of_learning

Repository files navigation

Intractability of Learning the Discrete Logarithm with Gradient-Based Methods

This repository contains the code for the experiments conducted for the article "Intractability of Learning the Discrete Logarithm with Gradient-Based Methods" by R. Takhanov, M. Tezekbayev, A. Pak, A. Bolatov, Zh. Kadyrsizova, and Zh. Assylbekov.

Citation

If you use this code in your research, please cite our paper:

@misc{takhanov2023intractability,
      title={Intractability of Learning the Discrete Logarithm with Gradient-Based Methods}, 
      author={Rustem Takhanov and Maxat Tezekbayev and Artur Pak and Arman Bolatov and Zhibek Kadyrsizova and Zhenisbek Assylbekov},
      year={2023},
      eprint={2310.01611},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

License: MIT

About

Code for the experiments conducted for the article "Intractability of Learning the Discrete Logarithm with Gradient-Based Methods"

Resources

License

Stars

Watchers

Forks