IJCAI 2022poster3 citations

Robust Solutions for Multi-Defender Stackelberg Security Games

Dolev Mutzari, Yonatan Aumann, Sarit Kraus

Abstract

Multi-defender Stackelberg Security Games (MSSG) have recently gained increasing attention in the literature. However, the solutions offered to date are highly sensitive, wherein even small perturbations in the attacker's utility or slight uncertainties thereof can dramatically change the defenders' resulting payoffs and alter the equilibrium. In this paper, we introduce a robust model for MSSGs, which admits solutions that are resistant to small perturbations or uncertainties in the game's parameters. First, we formally define the notion of robustness, as well as the robust MSSG model. Then, for the non-cooperative setting, we prove the existence of a robust approximate equilibrium in any such game, and provide an efficient construction thereof. For the cooperative setting, we show that any such game admits a robust approximate (alpha) core, and provide an efficient construction thereof. Lastly, we show that stronger types of the core may be empty. Interestingly, the robust solutions can substantially increase the defenders' utilities over those of the non-robust ones.

Agent-based and Multi-agent Systems: Cooperative GamesAgent-based and Multi-agent Systems: Algorithmic Game TheoryAgent-based and Multi-agent Systems: Noncooperative Games
BibTeX
@inproceedings{ijcai2022p62,
  title     = {Robust Solutions for Multi-Defender Stackelberg Security Games},
  author    = {Mutzari, Dolev and Aumann, Yonatan and Kraus, Sarit},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-22}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Lud De Raedt},
  pages     = {433--439},
  year      = {2022},
  month     = {7},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2022/62},
  url       = {https://doi.org/10.24963/ijcai.2022/62},
}
Robust Solutions for Multi-Defender Stackelberg Security Games · IJCAI 2022