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IMA Industrial Problems Seminar - Fatemeh Sheikholeslami
Speaker: Fatemeh Sheikholeslami
Title: Certified Robustness against Adversarial Attacks in Image Classification
Abstract: Researchers have repeatedly shown that it is possible to craft adversarial attacks, i.e., small perturbations that significantly change the class label, on deep classifiers and considerably degrade their performance. This fragility can significantly hinder the deployment of deep learning-based methods in safety-critical applications. To address this, adversarial attacks can be defended against either by building robust classifiers or, by creating classifiers that can detect the presence of adversarial perturbations. I will talk about a couple of algorithms that we have developed at BCAI which provide certified defenses against different threat models.

Nov 19, 2021 01:25 PM in Central Time (US and Canada)

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