Machine learning for cyber security ...
ML4CS (Conference) (2022 :)

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  • Machine learning for cyber security = 4th International Conference, ML4CS 2022, Guangzhou, China, December 2-4, 2022 : proceedings.. Part I /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Machine learning for cyber security/ edited by Yuan Xu ... [et al.].
    其他題名: 4th International Conference, ML4CS 2022, Guangzhou, China, December 2-4, 2022 : proceedings.
    其他題名: ML4CS 2022
    其他作者: Xu, Yuan.
    團體作者: ML4CS (Conference)
    出版者: Cham :Springer Nature Switzerland : : 2023.,
    面頁冊數: xxix, 669 p. :ill. (chiefly color), digital ;24 cm.
    內容註: Traditional Chinese Medicine Health Status Identification with Graph Attention Network -- "Flexible Task Splitting Strategy in Aircraft Maintenance Technician Scheduling Based on Swarm Intelligence" -- Privacy Preserving CSI Fingerprint Device-Free Localization -- A Novel Blockchain-MEC-based Near-domain Medical Resource Sharing Model -- Pairwise Decomposition of Directed Graphic Models for Performing Amortized Approximate Inference -- VDDL: A Deep Learning-based Vulnerability Detection Model for Smart Contracts -- "Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking" -- Visualized analysis of the emerging trends of automated audio description technology -- Anomaly Detection for Multi-Time Series with Normalizing Flow -- Encrypted Transmission Method of Network Speech Recognition Information Based on Big Data Analysis -- "A Lightweight NFT Auction Protocol for Cross-chain Environment" -- "A Multi-Scale Framework for Out-of-Distribution Detection in Dermoscopic Images" -- Swarm Intelligence for Multi-objective Portfolio Optimization -- Research on Secure Cloud Storage of Regional Economic Data Network Based on Blockchain Technology -- "Data Leakage with Label Reconstruction in Distributed Learning Environments" -- Analysis Method of Abnormal Traffic of Teaching Network in Higher Vocational Massive Open Online Course Based on Deep Convolutional Neural Network -- "Spatio-Temporal Context Modeling for Road Obstacle Detection" -- A Survey of Android Malware Detection Based on Deep Learning -- "Information Encryption Transmission Method of Automobile Communication Network Based on Neural Network" -- Explanation-Guided Minimum Adversarial Attack -- CIFD: A Distance for Complex Intuitionistic Fuzzy Set -- Security Evaluation Method of Distance Education Network Nodes Based on Machine Learning -- "MUEBA:A Multi-Model System for Insider Threat Detection" -- "Bayesian Based Security Detection Method for Vehicle CAN Bus Network" -- "Discrete Wavelet Transform-based CNN for Breast Cancer Classification from Histopathology Images" -- "Machine Learning Based Security Situation Awareness Method for Network Data Transmission Process" -- Multi-objective Hydrologic Cycle Optimization for Integrated Container Terminal Scheduling Problem -- A Method for Residual Network Image Classification with Multi-scale Feature Fusion -- "High Voltage Power Communication Network Security Early Warning and Monitoring System Based on Hmac Algorithm" -- "Large Scale Network Intrusion Detection Model Based on FS Feature Selection" -- "Research on Intelligent Detection Method of Automotive Network Data Security Based on FlexRay/CAN Gateway" -- Adversarial Attack and Defense on Natural Language Processing in Deep Learning: A Survey and Perspective -- A Novel Security Scheme for Mobile Healthcare in Digital Twin -- Construction of Security Risk Prediction Model for Wireless Transmission of Multi Axis NC Machining Data -- Spiking Neural Networks Subject to Adversarial Attacks in Spiking Domain -- Diverse Web APIs Recommendation with Privacy-preservation for Mashup Development -- Network Security Evaluation Method of College Freshmen Career Counseling Service Based on Machine Learning -- FedTD:Efficiently share telemedicine data with federated distillation learning -- Increase channel attention based on Unet++ architecture for medical images -- Distributed Power Load Missing Value Forecasting with Privacy Protection -- Differentially Private Generative Model with Ratio-based Gradient Clipping -- Differential privacy protection algorithm for data clustering center -- Improved Kmeans algorithm based on privacy protection -- Symmetry Structured Analysis Sparse Coding for Key Frame Extraction -- Data Reconstruction from Gradient Updates in Federated Learning -- Natural Backdoor Attacks on Speech Recognition Models -- Boarding Pass Positioning with Jointly Multi-channel Segmentation and Perspective Transformation Correction -- AP-GCL:Adversarial perturbation on graph contrastive learning -- An Overview of Opponent Modeling for Multi-agent Competition -- Adversarial Attack and Defense on Natural Language Processing in Deep Learning: A Survey and Perspective.
    Contained By: Springer Nature eBook
    標題: Machine learning - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-20096-0
    ISBN: 9783031200960
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