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Christian Scharfenberger

1 accepted papers

2020

Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness

CVPR 2020poster

While deep neural networks have been achieving state-of-the-art performance across a wide variety of applications, their vulnerability to adversarial attacks limits their widespread deployment for safety-critical applications. Alongside other adversarial defense approaches being investigated, there…

Cited by 90PDFScholar