Full Papers
Original research contributions with substantial technical depth and evaluation.
Systems/CORE Unranked
RobustifAI Workshop 2026
Workshop on Robustifying Generative AI for Reliable, Safe, and Human-Centric Systems
The RobustifAI Workshop 2026 focuses on robustifying generative AI to ensure reliable, safe, and human-centric systems. It brings together researchers to address challenges in robustness, safety, fairness, and interpretability of generative models across diverse applications.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short Papers
Preliminary results, position papers, or work-in-progress with clear insights.
Demo Papers
System demonstrations showcasing robust generative AI tools or applications.
Research areas in scope
01
Research Topics
Robustness of generative models against adversarial attacksSafety and alignment of generative AI systemsFairness and bias mitigation in generative modelsInterpretability and explainability of generative AIEvaluation metrics for robust generative AIData quality and curation for robust trainingHuman-in-the-loop generative systemsGenerative AI for scientific discovery and healthcareLegal, ethical, and societal implications of generative AIBenchmarking and standardized testing for robustness
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Papers must not exceed 8 pages for full papers and 4 pages for short/demo papers, excluding references.
- Dual submission to other conferences or journals is not allowed during review.
- All submissions must include a statement on the use of AI-assisted tools in writing.
- Author lists cannot be changed after the submission deadline.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026