摘要
由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新数据在一份新的报告中呈现。根据NewsRx记者来自中国成都的新闻报道，研究表明：“近年来，基于字节序列的机器学习技术在恶意软件检测中的应用已经成为一个突出的研究领域。然而，相关研究表明，机器学习方法容易受到对抗性例子的影响，使用字节序列为攻击者提供了一个方便的操纵途径。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are presented in a new report. According to news reporting originating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “In recent years, the application of machine learning techniques based on byte sequences in malware detection has become a prominent research area. However, relevant studies have shown that machine learning methods are susceptible to adversarial examples, and the use of byte sequences provides attackers with a convenient avenue for manipulation.”
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