GameSec 2026

Conference on Game Theory and AI for Security

October 26-28, 2026, Ann Arbor, Michigan, USA

Important Dates

Submission

June 12, 2026

Decision Notification

July 24, 2026

Camera-ready

TBA

Author Registration Deadline

TBA

General Description

The 17th Conference on Game Theory and AI for Security (GameSec-26) will take place October 26-28, 2026 in Ann Arbor, Michigan, USA.

With the rapid advancement of artificial intelligence, game theory, and security technologies, the resilience and trustworthiness of modern systems is more critical than ever. The 2026 Conference on Game Theory and AI for Security focuses on leveraging strategic decision-making, adversarial reasoning, and computational intelligence to address security challenges in complex and dynamic environments.

The conference invites novel, high-quality theoretical and empirical contributions that apply game theory, AI, and related methodologies to security, privacy, trust, and fairness in emerging systems. The goal is to bring together researchers from academia, industry, and government to explore interdisciplinary connections between game theory, reinforcement learning, adversarial machine learning, mechanism design, risk assessment, behavioral modeling, and cybersecurity. Through rigorous and practically relevant analytical methods, the conference aims to advance the understanding and application of AI-driven strategies for securing critical infrastructures and emerging technologies.

Conference Topics

Indicative topics, but not exhaustive, are listed below, and the conference welcomes a broad range of contributions exploring the intersection of game theory, AI, and security.

Conference Topics
  • 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
  • Game-theoretic models for deception and misinformation detection
  • Auction-based security mechanisms for resource allocation
  • Nash equilibria in adversarial security settings
  • Aggregative Games for security
  • Adversarial machine learning and robust AI models
  • Reinforcement learning for cyber defense strategies
  • AI-driven risk assessment and threat intelligence
  • Secure federated learning and privacy-preserving AI
  • AI for zero-trust architectures and intrusion detection
  • Explainable AI in security decision-making
  • Large language models for cybersecurity applications
  • AI-powered malware and phishing detection
  • Automated penetration testing and ethical hacking using AI
  • Game-theoretic approaches for securing IoT and edge computing
  • Security strategies for autonomous systems and UAVs
  • AI-driven attack detection in smart grids and critical infrastructures
  • Secure network protocols and AI-powered anomaly detection
  • Blockchain and game theory for decentralized security
  • Cyber-physical system resilience through game-theoretic modeling
  • Security strategies for smart cities and intelligent transportation systems
  • AI-enhanced situational awareness in cyber-physical environments
  • Incentive mechanisms for cybersecurity investments
  • Human-in-the-loop security and behavioral game theory
  • Trust and reputation models in decentralized systems
  • AI-powered fraud detection in financial systems
  • Privacy-aware mechanism design and data-sharing incentives
  • Economic impact of cyber threats and attack mitigation strategies
  • Psychological and cognitive biases in security decision-making
  • Red teaming and AI-generated attack simulations
  • Robust AI models against adversarial perturbations
  • AI-powered misinformation and propaganda detection
  • Security challenges in generative AI and large language models
  • Ethical AI and fairness in security decision-making
  • AI for detecting and mitigating deepfake threats
  • Secure AI model training and adversarial robustness testing
  • Reinforcement learning under adversarial conditions
  • Game-theoretic approaches to securing blockchain networks
  • AI for decentralized identity and authentication management
  • Security challenges in multi-agent and swarm intelligence systems
  • Incentive-driven security solutions for distributed systems
  • AI-powered smart contract verification and fraud detection
  • Secure consensus mechanisms in blockchain and distributed ledgers
  • AI-driven security in autonomous transportation
  • Game theory for cloud security and access control
  • AI-enhanced cyber resilience in government and military networks
  • AI for misinformation mitigation in social networks
  • AI and game theory applications in healthcare cybersecurity
  • Security in quantum computing and post-quantum cryptography
  • AI-powered cybersecurity solutions for industrial control systems
  • AI in securing 5G/6G and next-generation communication networks

Conference Sponsors and Supporters

We invite you to participate in the sponsor program for GameSec-26. The conference will be held in person October 26-28, 2026 in Ann Arbor, Michigan, USA. GameSec is an annual international conference that started in 2010 and it focuses on the protection of heterogeneous, large-scale, and dynamic cyber-physical systems as well as managing security risks faced by critical infrastructures through rigorous and practically relevant analytical methods, especially game-theoretic and decision-theoretic methods. The proceedings of the conference are published by Springer.

GameSec conference attracts 50-100 students, researchers, and practitioners every year from all around the world. Your participation in the GameSec sponsor program will give you visibility to this diverse group that has interest and expertise in security, privacy, game theory, decision theory, and more.

Sponsor benefits include:

  • • Sponsor company name and logo will be displayed on website and at the venue
  • • Opportunity for sponsored awards (best paper and best paper honorable mention)
  • • Opportunity to provide named travel grant
  • • Acknowledgment in opening talk and closing remarks

University of Michigan College of Engineering

Michigan Engineering

Code of Conduct

The GameSec community is committed to maintaining a professional, respectful, and welcoming environment for all participants. GameSec's Code of Conduct clearly outlines undesirable behaviors and subsequent corrective actions in detail.


GameSec 2026 Proceedings

To be announced.