12 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.CR2019★ 3 cited
Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack
Di Zhao, Jiqiang Liu, Jialin Wang +4
"Feint Attack", as a new type of APT attack, has become the focus of attention. It adopts a multi-stage attacks mode which can be concluded as a combination of virtual attacks and…
cs.CR2018
A Training-based Identification Approach to VIN Adversarial Examples
Yingdi Wang, Wenjia Niu, Tong Chen +4
With the rapid development of Artificial Intelligence (AI), the problem of AI security has gradually emerged. Most existing machine learning algorithms may be attacked by adversari…
cs.LG2018★ 12 cited
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding
Tong Chen, Wenjia Niu, Yingxiao Xiang +4
As adversarial attacks pose a serious threat to the security of AI system in practice, such attacks have been extensively studied in the context of computer vision applications. Ho…