| Title | AI and Security: A Game Perspective |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Sinha, Arunesh |
| Conference Name | 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS) |
| Keywords | AI, data integrity, game theoretic security, game theory, Games, Human Behavior, human factors, Metrics, pubcrawl, reinforcement learning, Robustness, Safety, Scalability, security, Shape, Wildlife |
| Abstract | In this short paper, we survey some work at the intersection of Artificial Intelligence (AI) and security that are based on game theoretic considerations, and particularly focus on the author's (our) contribution in these areas. One half of this paper focuses on applications of game theoretic and learning reasoning for addressing security applications such as in public safety and wildlife conservation. In the second half, we present recent work that attacks the learning components of these works, leading to sub-optimal defense allocation. We finally end by pointing to issues and potential research problems that can arise due to data quality in the real world. |
| Notes | ISSN: 2155-2509 |
| DOI | 10.1109/COMSNETS53615.2022.9668430 |
| Citation Key | sinha_ai_2022 |
AI and Security: A Game Perspective