3 citations · 6 across the 2 of their papers we have counts for
4 papers
Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder
Yadong Zhou, Zhihao Ding, Xiaoming Liu +3
User attributes, such as gender and education, face severe incompleteness in social networks. In order to make this kind of valuable data usable for downstream tasks like user prof…
A Fast and Scalable Authentication Scheme in IoT for Smart Living
Jianhua Li, Jiong Jin, Lingjuan Lyu +4
Numerous resource-limited smart objects (SOs) such as sensors and actuators have been widely deployed in smart environments, opening new attack surfaces to intruders. The severe se…
Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations
Xiaoming Liu, Qirui Li, Chao Shen +3
Graph convolution network (GCN) attracts intensive research interest with broad applications. While existing work mainly focused on designing novel GCN architectures for better per…
Adversarial Example Detection by Classification for Deep Speech Recognition
Saeid Samizade, Zheng-Hua Tan, Chao Shen +1
Machine Learning systems are vulnerable to adversarial attacks and will highly likely produce incorrect outputs under these attacks. There are white-box and black-box attacks regar…