Improving Generalization via Uncertainty Driven Perturbations

no code implementations • 11 Feb 2022 • Matteo Pagliardini, Gilberto Manunza, Martin Jaggi, Michael I. Jordan, Tatjana Chavdarova

We show that UDP is guaranteed to achieve the maximum margin decision boundary on linear models and that it notably increases it on challenging simulated datasets.

Improved Generalization-Robustness Trade-off via Uncertainty Targeted Attacks

no code implementations • 29 Sep 2021 • Matteo Pagliardini, Gilberto Manunza, Martin Jaggi, Tatjana Chavdarova

The deep learning models' sensitivity to small input perturbations raises security concerns and limits their use for applications where reliability is critical.