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Accepted Papers & Talks

Papers

A Modular AI Testing Framework for Trustworthy AI: Proof-of-Concept Implementation

Maximilian Pintz, Daniel Becker and Michael Mock

Architectural Mitigation of Control AI Risk Factors for Safe Human-Robot-Collaboration

Andreas Kreutz, René Beck, Gereon Weiss and Satoshi Otsuka

Uncovering Unsafe Feature Interactions in Vehicle Control Using Generative AI and Digital Twins

Laure Millet, Justin Kernot, Arun Adiththan, Ramesh S, Rami Debouk and Jeffrey Joyce

AURORA Networks: Auto-associative Universal Real-time Outlier Risk Assessment Networks

Moritz Zink, Daniel Grimm and Eric Sax

Does not impute! Performance and ethical implications of missing data for an AI-based diabetes co-morbidity predictor

Philippa Ryan, Berk Ozturk, Laura Fearnley, Tom Lawton and Ibrahim Habli

Facilitating Fault Tree Analysis with Generative AI

Yujiao Shentu and Mario Trapp

Efficient Safety Retrofitting Against Jailbreaking for LLMs

Dario Garcia-Gasulla, Adrian Tormos, Anna Arias-Duart, Daniel Hinjos, Oscar Molina-Sedano, Ashwin Kumar Gururajan and Maria Eugenia Cardello

Risk Analysis of One-Pixel Image Defects in Safety-Critical Deep Neural Networks

Krystian Radlak, Adam Popowicz, Michal Szczepakiewicz and Paweł Zawistowski

Safe Adversarial Control Through Interaction

Benedikt Rank and Mario Trapp

Talks

Runtime Safety Engineering for AI Robotics: Lessons from Scaling Trust at Amazon

Gianpiero Negri

The BIG Safety Argument
Ibrahim Habli

Assuring Security of Agentic AI: Risks, Attacks, and System Context
Damir Safin, Tomas Bueno Momcilovic, and Dian Balta

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