18 citations · 19 across the 2 of their papers we have counts for
4 papers
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink
Ranjie Duan, Xiaofeng Mao, A. K. Qin +4
Though it is well known that the performance of deep neural networks (DNNs) degrades under certain light conditions, there exists no study on the threats of light beams emitted fro…
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…
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…
An extended catalog of galaxy-galaxy strong gravitational lenses discovered in DES using convolutional neural networks
C. Jacobs, T. Collett, K. Glazebrook +55
We search Dark Energy Survey (DES) Year 3 imaging for galaxy-galaxy strong gravitational lenses using convolutional neural networks, extending previous work with new training sets…