4 citations · 6 across the 4 of their papers we have counts for
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cs.CV2021
PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos
Nupur Thakur, Baoxin Li
Extensive research has demonstrated that deep neural networks (DNNs) are prone to adversarial attacks. Although various defense mechanisms have been proposed for image classificati…
cs.CV2020★ 2 cited
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers
Yuzhen Ding, Nupur Thakur, Baoxin Li
Researches have shown that deep neural networks are vulnerable to malicious attacks, where adversarial images are created to trick a network into misclassification even if the imag…
cs.CV2020★ 4 cited
Evaluating a Simple Retraining Strategy as a Defense Against Adversarial Attacks
Nupur Thakur, Yuzhen Ding, Baoxin Li
Though deep neural networks (DNNs) have shown superiority over other techniques in major fields like computer vision, natural language processing, robotics, recently, it has been p…