76 citations · 105 across the 12 of their papers we have counts for
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cs.CV2021
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance
An Zhang, Xiang Wang, Chengfang Fang +3
Gradient-based attribution methods can aid in the understanding of convolutional neural networks (CNNs). However, the redundancy of attribution features and the gradient saturation…
cs.CV2021★ 2 cited
DAFAR: Defending against Adversaries by Feedback-Autoencoder Reconstruction
Haowen Liu, Ping Yi, Hsiao-Ying Lin +2
Deep learning has shown impressive performance on challenging perceptual tasks and has been widely used in software to provide intelligent services. However, researchers found deep…
cs.CV2021★ 7 cited
Rethinking Natural Adversarial Examples for Classification Models
Xiao Li, Jianmin Li, Ting Dai +3
Recently, it was found that many real-world examples without intentional modifications can fool machine learning models, and such examples are called "natural adversarial examples"…