Description
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.
This network is funded by RIKEN-AIP’s subsidy and JST, ACT-X Grant Number JPMJAX21AF, Japan.
【The 4th Seminar】
Date and Time: February 16th 10:00am – 2:00pm(JST)
Venue: Zoom webinar
Language: English
10:00am – 11:00am
Speaker: Jonas Geiping (University of Maryland)
Title: Attacks on Privacy in Federated Learning Scenarios
11:00am- 12:00pm
Speaker: Danica J. Sutherland (University of British Columbia)
Title: Are These Datasets The Same? Learning Kernels for Efficient and Fair Two-sample Tests
12:00pm- 1:00pm
Speaker: Yinpeng Dong (Tsinghua University)
Title: Black-box Adversarial Attacks: From Theory to Practice
1:00pm- 2:00pm
Speaker: Sravanti Addepalli (Indian Institute of Science)
Title: Towards Efficient and Effective Adversarial Training
