41 citations · 136 across the 6 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.LG2021★ 2 cited
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks
Jiaming Mu, Binghui Wang, Qi Li +3
Graph Neural Networks (GNNs) have achieved state-of-the-art performance in various graph structure related tasks such as node classification and graph classification. However, GNNs…
cs.CR2021★ 37 cited
PatchRNN: A Deep Learning-Based System for Security Patch Identification
Xinda Wang, Shu Wang, Pengbin Feng +4
With the increasing usage of open-source software (OSS) components, vulnerabilities embedded within them are propagated to a huge number of underlying applications. In practice, th…
cs.CV2021★ 5 cited
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis
Fengting Li, Xuankai Liu, Xiaoli Zhang +3
Deep neural networks (DNNs) have been applied in a wide range of applications,e.g.,face recognition and image classification; however,they are vulnerable to adversarial examples. B…