collaborators

5 papers

cs.GT2026

The Oracle's Gambit: A Game-Theoretic Framework for Responsible AI Release

Christoph R. Landolt, Tobias Lorenz, Marta Kwiatkowska +1

Responsible vulnerability disclosure can secure the defender's head start by controlling when a vulnerability becomes public. However, this status quo is now challenged by increase…

cs.AI2026

Certified Circuits: Stability Guarantees for Mechanistic Circuits

Alaa Anani, Tobias Lorenz, Bernt Schiele +2

Understanding how neural networks arrive at their predictions is essential for debugging, auditing, and deployment. Mechanistic interpretability pursues this goal by identifying ci…

cs.AI2026

Scalable Delphi: Large Language Models for Structured Risk Estimation

Tobias Lorenz, Mario Fritz

Quantitative risk assessment in high-stakes domains relies on structured expert elicitation to estimate unobservable properties. The gold standard - the Delphi method - produces ca…

cs.LG2025

MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs

Tobias Lorenz, Marta Kwiatkowska, Mario Fritz

Data errors, corruptions, and poisoning attacks during training pose a major threat to the reliability of modern AI systems. While extensive effort has gone into empirical mitigati…

cs.LG2025

Pixel-level Certified Explanations via Randomized Smoothing

Alaa Anani, Tobias Lorenz, Mario Fritz +1

Post-hoc attribution methods aim to explain deep learning predictions by highlighting influential input pixels. However, these explanations are highly non-robust: small, impercepti…