Watch out! Motion is blurring the vision of your deep neural networks

• Main Authors: GUO, Qing, JUEFEI-XU, Felix, XIE, Xiaofei, MA, Lei, WANG, Jian, YU, Bing, FENG, Wei, LIU, Yang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: OS and Networks; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7108; https://ink.library.smu.edu.sg/context/sis_research/article/8111/viewcontent/NeurIPS_2020_watch_out_motion_is_blurring_the_vision_of_your_deep_neural_networks_Paper.pdf
• Institution: Singapore Management University

The state-of-the-art deep neural networks (DNNs) are vulnerable to adversarial examples with additive random noise-like perturbations. While such examples are hardly found in the physical world, the image blurring effect caused by object motion, on the other hand, commonly occurs in practice, making...