会议信息

GameSec 2026: Conference on Game Theory and AI for Security

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嵌入截止倒计时徽章
GameSec
截稿日期:
2026-06-12
通知日期:
2026-07-31
会议日期:
2026-10-26
会议地点:
Ann Arbor, Michigan, USA
届数:
17
浏览: 28591   关注: 4   参加: 2

征稿

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
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