IEEE Conference on Generative AI for Secure Systems

The IEEE Conference on Generative AI for Secure Systems (GAISS) serves as a pivotal venue where the intersections of published research, product practices, and policy discussions on Generative AI security unfold. This event attracts a diverse audience, including academics specializing in adversarial robustness, security professionals managing production pipelines, and policymakers tasked with formulating regulations for AI applications in critical systems. Participants engage in extensive research tracks covering various aspects of AI security, featuring a blend of keynote speeches, workshops, and demonstrations.GAISS encompasses ten IEEE research tracks that delve into model-level risks, systems integration, and assurance. Each track is meticulously curated to align with paper submissions, panel discussions, and tutorials. Notable topics include Generative AI applications in threat intelligence and adversary simulation, the development of secure and robust generative models within adversarial contexts, and the integration of Generative AI in secure software development, DevSecOps, and code generation. The conference also explores the role of Generative AI in critical infrastructure, the Internet of Things (IoT), cyber-physical systems, and its implications in quantum machine learning for secure frameworks. Additional focus areas include synthetic data usage, privacy preservation, federated generative models, secure communications, networking, and the socio-technical impacts of human-AI collaboration.The conference operates under a double-blind peer review process, ensuring that accepted contributions are published in official IEEE proceedings and indexed in IEEE Xplore. Participants are encouraged to submit work relevant to a broad array of themes such as threat intelligence, robust generative models, DevSecOps, quantum ML, and agentic systems. Throughout the three-day event, attendees can expect a comprehensive program featuring sessions, keynotes, networking opportunities, exhibits, and access to materials, lunch, and refreshments. Essential amenities such as Wi-Fi, printed badges, and conference app access are provided to enhance the attendee experience. Main-stage keynotes and panels will be recorded, with content typically available online shortly after the event concludes. GAISS is organized by the IEEE and supported by sponsor partnerships, which help broaden the program's scope while maintaining accessibility for participants. The venue, located at The University of Texas at Austin, is easily reachable via public transit, with limited on-site parking available. Attendees are reminded to adhere to the IEEE Code of Conduct, promoting respectful interactions and providing mechanisms for reporting issues.