ECCV 2020 Workshop on

Adversarial Robustness in the Real World

Glasgow, Scotland
Aug 23, 2020


Overview

Computer vision systems nowadays have advanced performance but research in adversarial machine learning also shows that they are not as robust as the human vision system. The existence of real-world adversarial examples, created under scenarios such as partial occlusion or previously unseen environments, provides opportunities for understanding and improving computer vision systems.


Call For Papers

Submission deadline (Tentative): ??, 2020 Anywhere on Earth (AoE)

Notification sent to authors (Tentative): ??, 2020 Anywhere on Earth (AoE)

Camera ready deadline (Tentative): ??, 2020 Anywhere on Earth (AoE)

Submission server: https://cmt3.research.microsoft.com/??

Submission format: ???

We invite submissions on any aspect of adversarial machine learning in computer vision. This includes, but is not limited to:


Speakers


Schedule

TBD

Organizing Committee

Program Committee

TBD



Please contact Adam Kortylewski or Cihang Xie if you have questions. The webpage template is by the courtesy of CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision.