AMLAVS-22: Workshop of Adversarial Machine Learning towards Advanced Vision Systems Macau SAR, China, December 4-8, 2022 |
Conference website | https://sites.google.com/view/workshop-of-amlavs |
Submission link | https://easychair.org/conferences/?conf=amlavs22 |
Nominated computer vision tasks have nowadays performed on super-human level with the advances of deep learning techniques. However, adversarial machine learning researchers demonstrate that such vision systems could not yet be as robust as human systems. Acting as a new gamut of technologies, adversarial machine learning covers the research and development of studying the intact capabilities and malicious behaviors of machine learning models in an adversarial scenario. The potential vulnerabilities of ML models to malicious attacks can result in severe consequences for safety-critical systems. One most known manner is via imperceptible perturbations to the input images/videos. Although it is not to be alarmist, researchers in machine learning and computer vision areas have a responsibility to preempt attacks and build safeguards especially when the task is critical for information security, and human lives (e.g., autonomous driving systems). We need to deepen our understanding of machine learning in adversarial environments.
Thus motivated, we organize the ACCV 2022 workshop on “Adversarial Machine Learning towards Advanced Vision Systems” in Dec 2022, in conjunction with Asia Conferences on Computer Vision (ACCV 2022) in Macau, China. We will invite world-renowned keynote speakers to share their latest research progress in this direction at the workshop. Besides, we will invite researchers to submit their latest research output to this workshop and present them in a poster session.