12 citations · 20 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Cross-Modal Similarity Learning : A Low Rank Bilinear Formulation
Cuicui Kang, Shengcai Liao, Yonghao He +4
The cross-media retrieval problem has received much attention in recent years due to the rapid increasing of multimedia data on the Internet. A new approach to the problem has been…