most citedDenoising Diffusion Probabilistic Models as a Defense against Adversarial Attacks

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

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…