51 citations · 245 across the 19 of their papers we have counts for
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cs.CV2019★ 51 cited
It GAN DO Better: GAN-based Detection of Objects on Images with Varying Quality
Charan D. Prakash, Lina J. Karam
In this paper, we propose in our novel generative framework the use of Generative Adversarial Networks (GANs) to generate features that provide robustness for object detection on r…
cs.CV2019★ 43 cited
Defending Against Universal Attacks Through Selective Feature Regeneration
Tejas Borkar, Felix Heide, Lina Karam
Deep neural network (DNN) predictions have been shown to be vulnerable to carefully crafted adversarial perturbations. Specifically, image-agnostic (universal adversarial) perturba…