… In this paper, we proposed a CAN bus anomaly detection model as CLAM based on CNN-LSTM
with the attention mechanism. The proposed model uses the bit flip rate to extract the …

… attention mechanisms specifically designed for system log anomaly detection, and 2) we …
how model introspection in these systems is made possible by the attention mechanisms. …

… Different from the previous research on time-series anomaly detection, we propose a gen…
LSTM) and attention mechanism (AMBi-GAN) model to identify and detect the multidimensional …

… an innovative data anomaly detection method with the residual attention network (RAN) …
attention mechanism are introduced in the deep learning models. The trained residual attention …

… We propose a video anomaly detection model based on the attention mechanism, and …
Attention mechanism: Inputs the coding features obtained from the hidden layer into the attention …

… for video anomaly detection have emerged. This paper proposes a video anomaly detection
… Generative Adversarial Network (GAN) and attention mechanism. For the generation model, …

… magnetic anomaly detection on data recorded by a single static three-axis magnetometer.
We incorporate an attention mechanism into our network to improve the detection capability of …

… In this architecture, we introduce an attention mechanism that can effectively improve the
reconstruction effect. Then, a new reconstruction error calculation is provided. The point-wise …

… , a log anomaly detection framework with an autoencoder based attention mechanism. We
… structure with an attention mechanism for unsupervised log anomaly detection. The encoder …

… the proposed model, and we present evidence that the proposed spatial and temporal attention
mechanisms are essential for the reliable and accurate recognition of anomalous events. …