About me
I am Robin Staab, a PhD student at the Secure, Reliable, and Intelligent Systems Lab of ETH Zürich, advised by Prof. Martin Vechev, since July 2023.
Education
- ETH Zurich, 2020 - 2023
- ETH Zurich, 2016 - 2020
M. Sc. Computer Science
B. Sc. Computer Science
Work Experience
- Snyk , Aug-Dec 2021
Machine Learning Engineering Intern, Zurich
Awards
| 2023 | Willi Studer Prize for Best Master's Degree in Computer Science | Awarded |
Publications
2024
From Principle to Practice: Vertical Data Minimization for Machine Learning
Robin Staab, Nikola Jovanović, Mislav Balunović, Martin Vechev
IEEE S&P
2024
Beyond Memorization: Violating Privacy Via Inference with Large Language Models
Robin Staab, Mark Vero, Mislav Balunović, Martin Vechev
ICLR
2024
Spotlight, 2024 PPPM-Award
Spotlight, 2024 PPPM-Award
Watermark Stealing in Large Language Models
Nikola Jovanović, Robin Staab, Martin Vechev
Workshop on Reliable and Responsible Foundation Models (R2-FM) -- ICLR
2024
Oral
Oral
Private Attribute Inference from Images with Vision-Language Models
Batuhan Tömekçe, Mark Vero, Robin Staab, Martin Vechev
arXiv
2024
Large Language Models are Advanced Anonymizers
Robin Staab, Mark Vero, Mislav Balunović, Martin Vechev
arXiv
2024
2023
Abstract Interpretation of Fixpoint Iterators with Applications to Neural Networks
Mark Niklas Müller, Marc Fischer, Robin Staab, Martin Vechev
PLDI
2023
2022
Bayesian Framework for Gradient Leakage
Mislav Balunović, Dimitar I. Dimitrov, Robin Staab, Martin Vechev
ICLR
2022
