AI & Machine Learning
International Conference on Evolutionary Game Theory and Artificial Intelligence
The 17th Conference on Game Theory and AI for Security invites theoretical and empirical contributions applying game theory and AI methods to security, privacy, trust, and fairness in emerging systems. It is for researchers from academia, industry, and government.
The essentials
Event details
- Dates
- 9 October 2026
- Location
- Ann Arbor, Michigan, USA, China
- Organiser
- GameSec
- Industry
- AI & Machine Learning
Agenda themes
Topics covered
- Game Theory for Security and Privacy
- Stackelberg and Bayesian games for cybersecurity
- Mechanism design for secure and resilient systems
- Multi-agent security games and adversarial interactions
- Dynamic and repeated games in security applications
- Coalitional game theory for trust and privacy
- Evolutionary game theory in cyber defense
- Auction-based security mechanisms for resource allocation
- Nash equilibria in adversarial security settings
- Aggregative Games for security
- AI and Machine Learning for Security
- Adversarial machine learning and robust AI models
On stage
Speakers
- Uday V. ShanbhagProfessor, University of Michigan, Ann Arbor
- Nicolas ChristinProfessor, Carnegie Mellon University
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