申し込み受付は終了しました
The TrustML Young Scientist Seminars (TrustML YSS) started from January 28, 2022.
The TrustML YSS is a video series that features young scientists giving talks and discoveries in relation with Trustworthy Machine Learning.
Timetable for the TrustML YSS online seminars from Jan. to Feb. 2023.
For more information please see the following site.
TrustML YSS
This network is funded by RIKEN-AIP's subsidy and JST, ACT-X Grant Number JPMJAX21AF, Japan.
【The 55th Seminar】
Date and Time: February 16th 5:00 pm - 6:00 pm(JST)
Venue: Zoom webinar
Language: English
Speaker: Yiwen Guo (Formerly Bytedance AI)
Title: Adversarial attack in black-box settings
Short Abstract
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.
Bio:
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.
All participants are required to agree with the AIP Seminar Series Code of Conduct.
Please see the URL below.
https://aip.riken.jp/event-list/termsofparticipation/?lang=en
RIKEN AIP will expect adherence to this code throughout the event. We expect cooperation from all participants to help ensure a safe environment for everybody.
