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MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network
The STcAM with fine-pruning uses one-dimensional convolution (Conv1D) to extract spatial features and subsequently utilizes the Bidirectional Long Short Term Memory (Bi-LSTM) to extract the temporal features, where the attention mechanism will focus on the important time steps.
Syntactic Ghost: An Imperceptible General-purpose Backdoor Attacks on Pre-trained Language Models
Specifically, the method hostilely manipulates poisoned samples with different predefined syntactic structures as stealth triggers and then implants the backdoor to pre-trained representation space without disturbing the primitive knowledge.
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space
In this paper, we investigate the learning mechanisms of backdoor LMs in the frequency space by Fourier analysis.
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