161 citations · 364 across the 14 of their papers we have counts for
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cs.LG2022
Towards Out-of-Distribution Adversarial Robustness
Adam Ibrahim, Charles Guille-Escuret, Ioannis Mitliagkas +3
Adversarial robustness continues to be a major challenge for deep learning. A core issue is that robustness to one type of attack often fails to transfer to other attacks. While pr…
cs.LG2022★ 1 cited
Learning Robust Kernel Ensembles with Kernel Average Pooling
Pouya Bashivan, Adam Ibrahim, Amirozhan Dehghani +1
Model ensembles have long been used in machine learning to reduce the variance in individual model predictions, making them more robust to input perturbations. Pseudo-ensemble meth…