| Bayesian framework for gradient leakage M Balunović, DI Dimitrov, R Staab, M Vechev arXiv preprint arXiv:2111.04706, 2021 | 44 | 2021 |
| Beyond memorization: Violating privacy via inference with large language models R Staab, M Vero, M Balunović, M Vechev arXiv preprint arXiv:2310.07298, 2023 | 25 | 2023 |
| Effective certification of monotone deep equilibrium models MN Müller, R Staab, M Fischer, M Vechev arXiv preprint arXiv:2110.08260, 2021 | 6 | 2021 |
| Abstract interpretation of fixpoint iterators with applications to neural networks MN Müller, M Fischer, R Staab, M Vechev Proceedings of the ACM on Programming Languages 7 (PLDI), 786-810, 2023 | 2 | 2023 |
| Private Attribute Inference from Images with Vision-Language Models B Tömekçe, M Vero, R Staab, M Vechev arXiv preprint arXiv:2404.10618, 2024 | | 2024 |
| Watermark Stealing in Large Language Models N Jovanović, R Staab, M Vechev arXiv preprint arXiv:2402.19361, 2024 | | 2024 |
| Large Language Models are Advanced Anonymizers R Staab, M Vero, M Balunović, M Vechev arXiv preprint arXiv:2402.13846, 2024 | | 2024 |
| From Principle to Practice: Vertical Data Minimization for Machine Learning R Staab, N Jovanović, M Balunović, M Vechev arXiv preprint arXiv:2311.10500, 2023 | | 2023 |
