# GAISS — IEEE Conference on Generative AI for Secure Systems

- **Submission deadline**: 2026-03-15
- **Notification date**: 2026-05-15
- **Conference date**: 2026-10-28
- **Location**: Austin, Texas, USA
- **Conference Partner Index**: 43.6/100 (ranked #3472, confidence 0.25, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 0
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/5269

## Call for papers

TOPICS Conference Track 1 : Generative AI for Threat Intelligence & Adversary Simulation Track 2 : Secure and Robust Generative Models in Adversarial Settings Track 3 : Generative AI for Secure Software Development, DevSecOps & Code Generation Track 4 : Generative AI in Critical Infrastructure, IoT & Cyber-Physical Secure Systems Track 5 : Generative AI and Quantum Machine Learning for Secure Systems Track 6 : Synthetic Data, Privacy-Preservation & Federated Generative Models Track 7 : Generative AI for Secure Communications, Networking and Software-Defined Infrastructure Track 8 : Human–AI Collaboration, Socio-Technical Impacts & Governance of Generative AI in Secure Systems Track 9 : Generative AI for Red-Teaming, Automated Attack-Surface Generation & Blue-Team Automation Track 10 : Emerging Foundations: Agentic & Autonomous Generative AI Systems in Secure Environments

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Source: Conference Partner — https://www.myhuiban.com/conference/5269 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)