18 citations · 30 across the 4 of their papers we have counts for
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cs.CV2021★ 11 cited
AdvDrop: Adversarial Attack to DNNs by Dropping Information
Ranjie Duan, Yuefeng Chen, Dantong Niu +3
Human can easily recognize visual objects with lost information: even losing most details with only contour reserved, e.g. cartoon. However, in terms of visual perception of Deep N…
cs.CV2020★ 1 cited
DTG-Net: Differentiated Teachers Guided Self-Supervised Video Action Recognition
Ziming Liu, Guangyu Gao, A. K. Qin +1
State-of-the-art video action recognition models with complex network architecture have archived significant improvements, but these models heavily depend on large-scale well-label…
cs.CV2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles
Ranjie Duan, Xingjun Ma, Yisen Wang +3
Deep neural networks (DNNs) are known to be vulnerable to adversarial examples. Existing works have mostly focused on either digital adversarial examples created via small and impe…