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cs.LG2023★ 3 cited
Denoising Diffusion Probabilistic Models as a Defense against Adversarial Attacks
Lars Lien Ankile, Anna Midgley, Sebastian Weisshaar
Neural Networks are infamously sensitive to small perturbations in their inputs, making them vulnerable to adversarial attacks. This project evaluates the performance of Denoising…
cs.LG2022
Deep Learning and Linear Programming for Automated Ensemble Forecasting and Interpretation
Lars Lien Ankile, Kjartan Krange
This paper presents an ensemble forecasting method that shows strong results on the M4 Competition dataset by decreasing feature and model selection assumptions, termed DONUT (DO N…