Conference Information

GameSec 2026: Conference on Game Theory and AI for Security

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Submission Date:
2026-06-12
Notification Date:
2026-07-31
Conference Date:
2026-10-26
Location:
Ann Arbor, Michigan, USA
Years:
17
Viewed: 29343   Tracked: 4   Attend: 2

Conference Partner Index (CP-I)

50.7 / 100
Ranked #1,422 of 5,682 conferences · Top 26%

#66 of 142 in Theory & Algorithms #96 of 360 in Security & Privacy

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
78
Community attention (10%)
24
Public record completeness (15%)
35

Inputs used: Editions on record: 17 · Researchers following it here: 4 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-16

Call For Papers

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
Last updated by Dou Sun on

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