题  目：Security of Deep - Battle on the Face

内容简介：During past several years we have seen many improvements on machine learning technologies which have also been deployed in many real world systems. However, this has also brought some new security problems at the same time. One example is the security of face based authentication system. It has been reported that current face authentication systems can be easily cheated with masks and/or computer generated videos. In the first part of this talk, I will introduce one of my works on performing liveness detections which will check if a given face image is coming from a live person or not. Another  problem is adversarial machine learning, where attackers could craft and feed a ambiguous image into a vulnerable machine learning system, resulting a wrong classification results, meanwhile the problem should not exist for human beings. In this talk, I will introduce a work on how to find malicious image samples for a given machine learning system efficiently and at the same time without being noticed. For example, it was said that machine learning algorithms now can have better. In the last part of this talk, I will introduce a work on data set poisonous problem, i.e., a robust detection algorithm for back-door contaminations inside atraining dataset.

报告人：香港中文大学  张克环  副教授

报告人简介：主要研究方向是系统与网络安全，包括移动安全、物联网安全、Web安全，以及各种侧信道攻击与应用等。2012年毕业于美国印第安纳大学布鲁明顿分校获得博士学位。张教授具有丰富的系统开发和系统安全研究经验，在研究和指导学生方面成果丰硕。赴美攻读博士学位之前曾在港湾网络等公司工作，使用Verilog语言开发基于FPGA芯片的骨干网路由器以及某航天器显示模块。研究方面，在系统安全领域的四大顶级会议上发表论文近20篇，主持承担了多项香港政府和国家自科技基金面上项目，并与国内外的安全领域内的知名专家和高校有合作关系（清华、中科院信工所、美国加州大学Irvine分校、美国俄亥俄州立大学、西安交通大学等）。目前研究团队在读博士研究生8人，已指导博士毕业4人（去向阿里巴巴、山东大学、复旦大学、国防科技大学）。

时  间：2019年12月23日（周一）下午3：30始

地  点：南海楼224室

热烈欢迎广大师生参加!

信息科学技术学院

2019年12月20日