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source code for "Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting" to appear ICDE 2023

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MSOPDS

source code for "Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting" to appear ICDE 2023

We tackle the problem of Multiplayer Comprehensive Attack (MCA) where an attacker attempts to poison a Heterogeneous RecSys while anticipating subsequent oppoennts who also poisons the same RecSys. We solve MCA under a Stackelberg game framework. Problem Paper: paper pdf to appear at ICDE 2023.

Citation

If you find this work or code is helpful in your research, please cite our work:

@inproceedings{yeh2023planning,
  title={Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting},
  author={Yeh, Chin-Yuan and Chen, Hsi-Wen and Yang, De-Nian and Lee, Wang-Chien and Yu, Philip S. and Chen, Ming-Syan},
  booktitle={2023 IEEE 39rd International Conference on Data Engineering (ICDE)},
  year={2023},
  organization={IEEE}
}

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source code for "Planning Data Poisoning Attacks on Heterogeneous Recommender Systems in a Multiplayer Setting" to appear ICDE 2023

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