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个人信息：Personal Information
教授 博士生导师 研究生导师
主要任职：国家自然基金重大研究计划负责人
其他任职：陕西省网络与系统安全重点实验室无人系统安全方向技术负责人；西安市智能系统安全实验室副主任
性别：男
毕业院校：西安电子科技大学
学历：博士研究生毕业
学位：工学博士学位
在职信息：在岗
所在单位：网络与信息安全学院
学科：网络空间安全
电子邮箱：
Self-Anomaly-Detection Model Training via Initialized Meta Model
点击次数：
发表刊物：International Conference on Networking and Network Applications
摘要：Anomaly detection has become a key challenge affecting the training accuracy of machine learning. Because the training data is usually collected from Internet, many noised samples will be captured and these samples can decrease the model training accuracy. However, because the abnormal samples are difficult to predict when the samples are collected, the training samples collected may contain many unknown exception categories, and the labels of normal samples may be incorrect, in this case, it is difficult to train an anomaly detection model based on supervised learning to
全部作者：习宁
论文编号：10.1109/NaNA56854.2022.00087
页面范围：pages 471-476
是否译文：否