The 55th Seminar
Date and Time: February 16th 5:00 pm – 6:00 pm(JST)
Venue: Zoom webinar
Speaker: Yiwen Guo (Formerly Bytedance AI)
Title: Adversarial attack in black-box settings
Adversarial examples have attracted great attention from the community. In particular, adversarial examples generated in black-box settings where the architecture of target models is unknown is of interest to both academia and industry, owing to its power of compromising real-world learning-based systems. In this talk, the speaker will bring some old and new thoughts on ways of generating powerful black-box adversarial examples. Both query-based and transfer-based methods will be discussed, which would hopefully also inspire research on optimization and model generalization.
Dr Yiwen Guo received his PhD degree from Tsinghua University. He used to work at ByteDance AI Lab and Intel Labs, as a staff research scientist. His research interest lies in the intersection of machine learning and security, and he has published more than 30 papers on top-tier conferences and journals including CVPR, ECCV, NeurIPS, ICLR, TPAMI, etc.