Deep learning has become an integral part of artificial intelligence. It has enabled great leaps of progress in the domains of computer vision, robotics, finance, medicine, and more. However, deep learning has been demonstrated to be vulnerable to adversarial attacks. The goal of this workshop is to bring together researchers from the Nanyang Technological University and the Ben-Gurion University to exchange ideas and share progress on the topic of “Enhancing Cyber Resilience of Deep Learning Models against Adversarial Cyber Attacks”.
More specifically, the workshop discussions will be scoped around: (1) developing new methods for measuring a deep neural network’s resilience to all possible attacks with or without knowledge about the model structure and training set; and (2) exploring the resilience of deep learning algorithms to compromised hardware that is used for accelerating their performance. This workshop is sponsored by NRF and will be held annually. This year, the first instance of the series will take place at the Nanyang Technological University, Singapore from 17 to 18 October, 2019. All team members from the two affiliations will attend the workshop and give talks on their recent work.
Date & Location
09:00 am – 17:30 pm,
17 October 2019,
TR-04, The Arc,
63 Nanyang Drive, Singapore 636922,
Nanyang Technological University