GameSec 2026 (Conference on Game Theory and AI for Security) is an academic conference held in Ann Arbor, Michigan, USA on 2026-10-26. The paper submission deadline is 2026-06-12. Acceptance notifications are sent on 2026-07-31.
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.
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
Aún no hay comentarios.