2019
Manipulating a Learning Defender and Ways to Counteract
NeurIPS 2019poster
In Stackelberg security games when information about the attacker's payoffs is uncertain, algorithms have been proposed to learn the optimal defender commitment by interacting with the attacker and observing their best responses. In this paper, we show that, however, these algorithms can be easily m…