Towards Trustworthy Full-Stack AI
Dr. Fang Chengfang
Due to lack of security consideration at the early development of AI algorithms, most AI systems are not robust against adversarial manipulation.
In critical applications such as healthcare, autonomous driving, and malware detection, security risks can be devastating, and thus attract numerous research efforts.
In this seminar, I will introduce some of the AI security and privacy research topics from an industry point of view, including the risk analysis throughout AI lifecycle and the pipeline of defense, in the hopes of providing a more complete picture on top of academic research to the audience.
Chengfang Fang obtained his Ph.D. degree from National University of Singapore before joining Huawei in 2013. He has been working on security and privacy protection in several areas including machine learning, internet of things, mobile device and biometrics for more than 10 years. He has published over 20 research papers and obtained 15 patents in this domain. He is currently a principal researcher of Trustworthiness Technology Lab in Huawei Singapore Research Center.
Join Zoom Meeting:
Enquiries: Miss Karen Chan at Tel. 3943 8439
For more information, please refer to http://www.cse.cuhk.edu.hk/seminar-archive/