[论文笔记]Malware Detection with Deep Neural Network Using Process Behavior 论文基本信息 会议: IEEE(2016 IEEE 40th Annual Computer Software and Applications Conference) 单位: Nagoya University(名古屋大学).NTT Secure Platform Laboratories(NTT安全平台实验室) 方法概述 数据:81个恶意软件日志文件…
DeepOrigin: End-to-End Deep Learning for Detection of New Malware Families 标签(空格分隔): 论文 论文基本信息 会议: IEEE(2018 International Joint Conference on Neural Networks [IJCNN]A类会议) 单位:公司Deep Instinct Ltd(以色列的一家网络安全公司) 方法概述 数据:训练集7759 + 测试集2163=9922个恶意样本文件,测试集…
http://www.csmining.org/cdmc2016/ Data Mining Tasks Description Task 1: 2016 e-News categorisation For this year, the dataset is sourced from 6 online news media: The New Zealand Herald (www.nzherald.co.nz), Reuters(www.reuters.com), The Times (www.t…
Deep Joint Rain Detection and Removal from a Single Image[1] 简介:多任务全卷积从单张图片中去除雨迹.本文在现有的模型上,开发了一种多任务深度学习框架,学习了三个方面,包括二元雨条纹映射(binary rain streak map),雨条纹外观和干净的背景.特别是新添加的二元雨条纹映射,其损失函数可以为神经网络提供额外的强特征.对于雨带积累现象(暴雨形成的如烟如雾的现象),采取循环雨检测和清除,以迭代和渐进方式清除. 动机:恢复暴雨下…