Hoseong Kim

Adversarial Attacks for Deep Learning-Based Infrared Object Detection

2021 · Journal of the Korea Institute of Military Science and Technology

Recently, infrared object detection(IOD) has been extensively studied due to the rapid growth of deep neural networks(DNN). Adversarial attacks using imperceptible perturbation can dramatically deteriorate the performance of DNN. However, most adversarial attack works are …