About

Name: GAISS 2026
Start: 2026-10-28
End: 2026-10-30
Location: The University of Texas at Austin

Authoritative overview of the conference mission, program structure, leadership, and institutional affiliations.

For press, institutions, and participants seeking verified facts without marketing collateral.

Complete RegistrationCall for papers

Mission

Why GAISS convenes

Generative models are changing how systems are designed, evaluated, and threatened. GAISS exists to make that transition rigorous: shared definitions, reproducible methods, and honest accounting of limitations, bridging the gap between publication and production.

The program deliberately mixes academic research, industrial practice, and public-sector perspective. The objective is sustained progress on secure, trustworthy deployment of Generative AI, not headline cycles or vendor narratives.

We measure success by sharper benchmarks, stronger evaluation norms, and collaborations that continue after the conference concludes.

Audience

Who should attend

GAISS is designed as a single technical forum for authors, registrants, sponsors, and invited guests. Submission requirements and formatting are specified in the call for papers. Registration is open to all qualified participants.

Research community

Faculty, postdocs, and graduate researchers presenting peer-reviewed work on Generative AI and the security of systems that rely on it.

Industry & engineering

Security, platform, and applied-AI teams seeking methods validated under deployment constraints, not marketing collateral.

Policy & standards

Leaders who require evidence-grounded framing: what the literature supports, where uncertainty remains, and what regulation can reasonably assume.

Students & early career

Doctoral candidates and emerging researchers connecting with the technical program and the hiring and mentorship networks around it.

Conference audience in a large auditorium

Conference registration

Program

Technical program structure

The in-person program spans three days. What follows is a schematic overview; the detailed schedule is published separately as the conference date approaches.

01
Keynotes & invited lectures
Opening and plenary sessions that establish context for the field and connect frontier research to operational reality.
02
Technical sessions & tracks
Peer-reviewed papers and organized sessions spanning Generative AI and the security of systems that employ it.
03
Panels & workshops
Structured debate, methods tutorials, and deep dives on emerging threats, evaluation, and governance questions.
04
Community & networking
Dedicated time for discussion, meetups, and follow-on collaboration beyond the formal program.

Author guidelines, submission categories, and review timelines are documented in the call for papers. Key deadlines are listed under important dates.

Governance

Organizing leadership

The organizing committee and Technical Program Committee (TPC) set scientific standards, oversee peer review, and uphold community expectations for GAISS.

Conference General Chair

Hardik Gohel

Director of Applied AI

University of Houston

Technical Program Committee roster

Affiliation & venue

IEEE sponsorship and host institution

GAISS is organized as an Institute of Electrical and Electronics Engineers (IEEE) conference. The 2026 meeting is hosted on the campus of The University of Texas at Austin. For submission requirements and venue particulars, see the call for papers and important dates.

Next steps

Austin, October 28-30, 2026

Central Time (CT). Hosted by The University of Texas at Austin.

Complete RegistrationCall for papers

Why GAISS convenes

We measure success by sharper benchmarks, stronger evaluation norms, and collaborations that continue after the conference concludes.

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