深度学习应用中的漏洞讲座

【讲座名称】深度学习应用中的漏洞

【时间】2018年5月7日（周一）13：30-15：00

【地点】清华大学六教B座312教室

【主办单位】清华大学交叉信息研究院，数据科学研究院

本讲座计入8次讲座，欢迎大家来听~

Talk Title: Vulnerabilities in Deep Learning Applications

This talk presents threats to AI applications caused by a set of vulnerabilities in deep learning frameworks. Contrast to the small code size of deep learning models, these deep learning frameworks are complex and contains heavy dependencies on numerous open source packages. By exploiting these framework implementations, this presentation demonstrates attacks on common deep learning applications such as voice recognition and imaging classifications.

The talk will present the details of exploiting software vulnerabilities to cause image recognition systems to produce attacker-controlled arbitrary classification results. The goal of this presentation is to draw attention to software implementations and call for collaborative effort to improve the security of deep learning framework.

【嘉宾简介】

李康,美国乔治亚大学教授，网络安全和隐私保护实验室主任

Kang Li is a professor of computer science and the director of the Institute for Cybersecurity and Privacy at the University of Georgia. Kang Li received a B.S in computer science from Tsinghua University, a Master in Law from Yale, and a Ph.D in computer science from Oregon Graduate Institute. Dr. Kang Li's research results have been published at academic venues, such as IEEE S&P, ACM CCS and NDSS, as well as industrial conferences, such as BlackHat, SyScan, and ShmooCon. Dr. Kang Li is the founder and mentor of multiple CTF security teams, including SecDawg and Blue-Lotus. He was also a founder and player of the Team Disekt, a finalist team in the 2016 DARPA Cyber Grand Challenge.