[The 4th TrustML Young Scientist Seminar]

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.

Timetable for the TrustML YSS online seminars from Jan. to Feb. 2022.

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 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
Abstract

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
Abstract

12:00pm- 1:00pm

Speaker: Yinpeng Dong (Tsinghua University)
Title: Black-box Adversarial Attacks: From Theory to Practice
Abstract

1:00pm- 2:00pm

Speaker: Sravanti Addepalli (Indian Institute of Science)
Title: Towards Efficient and Effective Adversarial Training
Abstract

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.