ambulance bed bolt briefcase calendar chain chevron-left chevron-right clock-o commenting-o commenting comments diamond envelope-o envelope facebook feed flask globe group heart-o heart heartbeat hospital-o instagram leaf map-marker medkit phone quote-left quote-right skype star-o star tint trophy twitter user-md user youtube


ICLR 2021 Workshop on Security and Safety in Machine Learning Systems

Jan 09 2021
While machine learning (ML) models have achieved great success in many applications, concerns have been raised about their potential vulnerabilities and risks when applied to safety-critical applications. On the one hand, from the security perspective,...

ECCV 2020 Workshop on Adversarial Robustness in the Real World

Jun 25 2020
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...

CVPR 2020 Workshop on Adversarial Machine Learning in Computer Vision

Feb 16 2020
Although computer vision models have achieved advanced performance on various recognition tasks in recent years, they are known to be vulnerable against adversarial examples. The existence of adversarial examples reveals that current computer vision models...

1st JHU Computer Vision Workshop

Apr 05 2019
1st JHU Computer Vision Workshop by Vision Professors - Drs. Alan Yuille, Vishal Patel, Rene Vidal, Gregory Hager Event Timing: Friday April 5, 2019 at 8:30 a.m. - 5:00 p.m. Event Address: Salon C at...

PASCAL in Detail Workshop Challenge at CVPR 2017

Mar 01 2017
The last decade has seen enormous improvement for tasks such as object detection due to the creation of large annotated datasets which enable learning and benchmarking object detection algorithms. The goal of this workshop challenge...