Robin Staab

According to our database, Robin Staab authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Watermark Stealing in Large Language Models.

Nikola Jovanovic, Robin Staab, Martin T. Vechev

CoRR, 2024

Large Language Models are Advanced Anonymizers.

Robin Staab, Mark Vero, Mislav Balunovic, Martin T. Vechev

CoRR, 2024

2023

Abstract Interpretation of Fixpoint Iterators with Applications to Neural Networks.

Mark Niklas Müller, Marc Fischer, Robin Staab, Martin T. Vechev

Proc. ACM Program. Lang., 2023

From Principle to Practice: Vertical Data Minimization for Machine Learning.

Robin Staab, Nikola Jovanovic, Mislav Balunovic, Martin T. Vechev

CoRR, 2023

Beyond Memorization: Violating Privacy Via Inference with Large Language Models.

Robin Staab, Mark Vero, Mislav Balunovic, Martin T. Vechev

CoRR, 2023

2022

Bayesian Framework for Gradient Leakage.

Mislav Balunovic, Dimitar Iliev Dimitrov, Robin Staab, Martin T. Vechev

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Effective Certification of Monotone Deep Equilibrium Models.

Mark Niklas Müller, Robin Staab, Marc Fischer, Martin T. Vechev

CoRR, 2021