General Description

The 16th Conference on Game Theory and AI for Security (GameSec-25) will take place from October 13-15 2025 in Athens, Greece.

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 2025 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.

    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