Suchergebnisse - Memory-based additional autoencoder

Unsupervised Unknown Radar Waveform Detection von Yoon, Jaehyeok, Nam, Haewoon

“… The proposed method integrates a Deep Shrinkage Autoencoder (DSAE) and a Memory-Augmented Additional Autoencoder (MAAE …”
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Advanced memory forensics for malware classification with deep learning algorithms von Odeh, Ammar, Taleb, Anas Abu, Alhajahjeh, Tareq, Navarro, Francisco

“… Memory-based features, including memory pages, threads, open files, user sessions, system calls, and kernel modules, were extracted from memory dumps using the Volatility and Rekall frameworks …”
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A Secure, Blockchain-Enabled Vehicular Sensor Communication Protocol With Deep Learning-Assisted Anomaly Detection von Mishra, Sumit, Sengar, Neha, Har, Dongsoo

“… The experimental results show that the proposed long short-term memory-based model is effective in detecting anomalies …”
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Machine Learning Based Flip-Flop Grouping for Toggling Driven Clock Gating von Park, Sora, Kim, Taewhan

“… Precisely, we develop a neural network model of LSTM (long short-term memory) based AE (autoencoder) model combined with SDAE …”
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DROPSYS: Detection of ROP attacks using system information von Kim, Seon Kwon, Jin, Hongjoo, Joo, Kyungho, Lee, Jiwon, Lee, Dong Hoon

“… ) to mitigate concerns about additional cost and compatibility issues. However the existing HPC data-based ROP detection techniques typically suffer from low detection performance mainly because of the non-deterministic nature of HPCs …”
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Anomaly Detection Reliability in Consumer Electronics Manufacturing von Pai, Chuen-Wun, Hsueh, Hung-Wei, Hsu, Shu-han

“… To address these gaps, this study provides an in-depth analysis of the reliability of autoencoders, a representative anomaly detection model, at various levels of granularity …”
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基于块金字塔记忆模块的无监督异常检测 von 鄢宁, 李岳阳, 罗海驰

“… TP391.41; 基于重建的无监督异常检测方法由于不需要异常样本和预训练模型,被广泛地应用到异常检测任务中.然而,在实际应用中由于卷积神经网络的泛化性,模型能够有效地重建 …”
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Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection von Yang, Zhiwei, Wu, Peng, Liu, Jing, Liu, Xiaotao

“… Existing methods for anomaly detection based on memory-augmented autoencoder (AE) have the following drawbacks …”
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