学术报告

乐鱼体育官方下载:Opportunities and Challenges for Machine Learning Enhanced Cybersecurity

发布日期:2021-07-13 浏览次数:

报告人:李琦,清华大学副研究员

报告时间:2021年7月13日下午14点

报告地点:计算中心208

Abstract: Cyberattacks are malicious acts that aim to steal and damage data or disrupt the digital life, which are arguably one of the most serious threats we are facing in today's world. It is very challenging to detect such cyberattacks because most of them are very stealthy and sophisticated and cannot be captured by traditional rule-based defenses. In this talk, I will explore the opportunities to develop the defenses by leveraging machine learning algorithms. Particularly, I will use real-life scenarios to show how machine learning can provide us with the technology to augment the defense capabilities against cyberattacks. Meanwhile, I will talk about the challenges for machine learning that we have yet to overcome, which may significantly impact the effectiveness of machine learning empowered defenses. 


Bio: Qi Li received his Ph.D. degree from Tsinghua University. Now he is an associate professor of Institute for Network Sciences and Cyberspace, Tsinghua University. He has ever worked at ETH Zurich and the University of Texas at San Antonio. His research interests are in network and system security, particularly in leveraging machine learning to enhance Internet security, mobile security, and big data security. He is currently an editorial board member of IEEE TDSC and ACM DTRAP, and serves on the organization or program committees of various premier conferences, e.g., IEEE S&P, USENIX Security, ACM CCS, and ISOC NDSS.


欢迎感兴趣的老师和同学参加!


电话:010-62736746

邮箱:eic@cau.edu.cn

地址:北京市海淀区清华东路17号

邮编:100083

微信关注

©2017 乐鱼体育app 校备案号:308_19034

leyu乐鱼体育_乐鱼体育app_乐鱼体育官方下载