Author

W. Scholten

h-index 1 View on Semantic Scholar

We have 1 of 5 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Investigating Local Robustness of TabPFN on Small Numerical Binary Classification Tasks

It is discovered that TabPFN is more robust than all baselines on synthetic data under single-step FGSM attacks for moderate-to-large perturbation budgets, but that this advantage largely disappears under iterative PGD, suggesting that TabPFN’s gradient landscape obstructs single-step attacks.

W. Scholten, J. V. van Rijn, Holger H. Hoos · 0 citations