Timetable for the TrustML YSS online seminars from Mar. to Apr., 2022.

Time (JST)Time (Your Browser)TitleSpeaker Video Link

17:15-18:15 10/03/2022


Beyond SGD: Efficient Learning with Non i.i.d. Data:
Kfir Y. Levy (Technion)
Video

10:00-11:00 17/03/2022


Controlling model behavior beyond the training data:
Dimitris Tsipras (Standford University)
Video

10:00-11:00 24/03/2022


Practical Individual Fairness:
Mikhail Yurochkin (IBM Research)
Video

11:00-12:00 24/03/2022


Robustness and Accuracy Could be Reconcilable: From Practice to Theory:
Tianyu Pang (Tsinghua University & Sea AI Lab)
Video

10:00-11:00 06/04/2022


Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks:
Avi Schwarzschild (University of Maryland)
Video

11:00-12:00 06/04/2022


Adversarial Training for Good:
Chen Zhu (University of Maryland)
Video

10:00-11:00 14/04/2022


Adversarial purification with score-based generative model:
Jongmin Yoon (KAIST)
Video

11:00-12:00 14/04/2022


Towards Robust Representation Learning and Beyond:
Cihang Xie (UCSC)
Video

10:00-11:00 22/04/2022


Private measurement of nonlinear correlations between data hosted across multiple parties:
Praneeth Vepakomma (MIT)
Video

11:00-12:00 22/04/2022


Advances and Perspectives of Transfer Learning:
Ximei Wang (Tsinghua University)
Video

11:00-12:00 26/04/2022


Is Sparsity a Good Friend of Robustness?
Zhangyang “Atlas” Wang (University of Texas at Austin & Amazon Research)
Video