Conference Description
Key Takeaways
- Academic and industry conference exploring game-theoretic models and AI techniques for cybersecurity challenges
- Covers adversarial machine learning, reinforcement learning, federated learning, and explainable AI in security contexts
- Addresses security for emerging technologies including IoT, blockchain, smart grids, and quantum computing
- Designed for academic researchers, security architects, AI engineers, and government security experts
- In-person event in Ann Arbor, Michigan featuring academic presentations, workshops, and case studies
About the Event
GAMESEC 2026 brings together researchers, practitioners, and thought leaders working at the intersection of game theory, artificial intelligence, and cybersecurity. The conference examines both theoretical foundations and practical applications for defending against cyber threats, designing resilient systems, and understanding adversarial behaviors across digital, physical, and socio-technical environments.
Game Theory and Strategic Security Models
The conference covers multiple game-theoretic frameworks applied to security problems, including Stackelberg games, Bayesian games, Nash equilibria, mechanism design, and coalitional and evolutionary game models. These approaches help security professionals model adversarial interactions, design incentive structures, and predict attacker behavior in complex systems.
AI and Machine Learning for Security
Sessions address adversarial machine learning, reinforcement learning for security applications, explainable AI, and federated learning. The program also examines AI safety concerns including red teaming, deepfake detection, misinformation mitigation, and building robust AI models resistant to manipulation.
Cyber-Physical and Decentralized Systems
Technical tracks explore security challenges in IoT environments, smart grids, autonomous systems, and smart cities. Additional coverage includes blockchain security, smart contract vulnerabilities, and consensus mechanism design. Application domains span transportation, healthcare, government, military systems, and next-generation networks.
Who Should Attend
The event serves academic researchers, cybersecurity professionals, AI and machine learning engineers, security architects, risk analysts, and policy advisors. Attendees typically work in finance, healthcare, critical infrastructure, technology, and government sectors, with roles including research scientists, security engineers, CISOs, and professors.