11月1-2日，美国西弗吉尼亚大学(West Virginia University,USA)计算机科学与电子工程系叶艳芳(Yanfang Ye)博士访问我院数字福建环境监测物联网实验室，并于2日上午在成功楼603报告厅做了题为“Arms Race between High-tech Attacks and Defenses: from Cloud-based Era towards the AI Age”的学术报告。
叶博士的报告回顾了从特征码检测到基于机器学习的恶意软件检测技术的发展历程，有针对性地分析了若干常见“高科技”攻击手段和防御措施，并详细介绍了用于恶意软件检测的面向对象关联挖掘、对抗学习等前沿技术和方法。报告进行过程和报告之后，叶书博士还结合自身近年在恶意软件检测等领域的研究经历，以及在SIGKDD等国际著名学术会议上发表论文经历和大家进行了交流，并耐心解答了老师和同学们提出问题，在与会者中引起了强烈的反响并受到大家的一致好评。
报告人简介：Dr. Yanfang (Fanny) Ye is currently an Assistant Professor in the Lane Department of Computer Science and Electrical Engineering at West Virginia University. Before joining WVU, she was the Principal Scientist in Comodo Security Solutions, Inc. (2010~2013), and formerly the Deputy Director at Kingsoft Internet Security Corporation (2008~2010). Her research areas mainly include cybersecurity, data mining, and machine learning. Dr. Ye has proposed and developed cloud-based solutions for mining big data in the area of Internet security, especially for malware detection, phishing fraud detection and adversarial machine learning. Her proposed techniques have enabled users to significantly reduce the time needed to detect new malicious software from the order of weeks to mere seconds, which have been incorporated into popular industrial products, including Comodo Internet Security with over 35 million users in the U.S., and Kingsoft Antivirus with over 150 million users in China. Dr. Ye recently received the prestigious U.S. NSF SaTC Award (2016-2019), the New Researcher of the Year Award (2016-2017) at WVU, the ACM SIGKDD 2017 Best Paper Award and ACM SIGKDD 2017 Best Student Paper Award (Applied Data Science Track), and the IEEE EISIC 2017 Best Paper Award. More information about her work can be found at: http://community.wvu.edu/~yaye/
