GameSec 2025

Conference on Game Theory and AI for Security

October 13-15, 2025, Athens, Greece

Paper Important Dates

Submission

June 13, 2025

Decision Notification

July 25, 2025

Camera-ready

August 29, 2025

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.

Keynote Speakers

We are happy to announce the first Keynote Speaker:

Dimitri Bertsekas, Professor,

Arizona State University, Massachusetts Institute of Technology, USA

Talk Title: Model Predictive Control and Reinforcement Learning for Minimax and Game Problems, with Application to Computer Chess

Dimitri BertsekasDimitri Bertsekas

Abstract: Our starting point in this lecture is a new conceptual framework that connects approximate Dynamic Programming (DP), Model Predictive Control (MPC), and Reinforcement Learning (RL). This framework centers around two algorithms, which are designed largely independently of each other and operate in synergy through the powerful mechanism of Newton's method for solving the Bellman equation. We call them the off-line training and the on-line play algorithms. The names are borrowed from some of the major successes of RL involving games; primary examples are the recent (2017) AlphaZero program (which plays chess), and the similarly structured and earlier (1990s) TD-Gammon program (which plays backgammon). In these game contexts, the off-line training algorithm is the method used to teach the program how to evaluate positions and to generate good moves at any given position, while the on-line play algorithm is the method used to play in real time against human or computer opponents.
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Biography

Dimitri Bertsekas' undergraduate studies were in mechanical and electrical engineering at the National Technical University of Athens, Greece (1960–1965). He obtained his MS in electrical engineering at the George Washington University, Wash. DC in 1969, and his Ph.D. in system science in 1971 at the Massachusetts Institute of Technology (M.I.T.).
Dr. Bertsekas has held faculty positions with the Engineering-Economic Systems Dept., Stanford University (1971–1974), and the Electrical Engineering Dept. of the University of Illinois, Urbana (1974–1979). Since 1979 he has been with the Electrical Engineering and Computer Science Department of M.I.T., as McAfee Professor of Engineering. Starting at 2019 he has also been Fulton Professor of Computational Decision Making and a full-time faculty member at the School of Computing and Augmented Intelligence at Arizona State University (ASU), Tempe. He has served as a consultant to various private companies, and as editor for several scientific journals. In 1995 he founded a publishing company, Athena Scientific, which has published, among others, all of his books since that time. In 2023 he was appointed Chief Scientific Advisor of Bayforest Technologies, a London-based quantitative investment company, with a branch in Athens, Greece.
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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-25. The conference will be held in person October 13-15 2025 in Athens, Greece. 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

    • National Technical University of Athens

    NTUA NTUA

    Springer (Best Paper Award)

    Springer

Code of Conduct

The GameSec community values Diversity, Equity, and Inclusion (DEI). GameSec's Code of Conduct clearly outlines undesirable behaviors and subsequent corrective actions in detail.


GameSec 2025 Proceedings

GameSec 2025 proceedings will be published by Springer as part of the LNCS series.