Three strategies to success: Learning adversary models in security games

• Main Authors: HAGHTALAB, Nika, FANG, Fei, NGUYEN, Thanh Hong, SINHA, Arunesh, PROCACCIA, Ariel D., TAMBE, Milind
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4663; https://ink.library.smu.edu.sg/context/sis_research/article/5666/viewcontent/ijcai16_full_1_.pdf
• Institution: Singapore Management University

State-of-the-art applications of Stackelberg security games -- including wildlife protection -- offer a wealth of data, which can be used to learn the behavior of the adversary. But existing approaches either make strong assumptions about the structure of the data, or gather new data through online...