Development of a defense mechanism to protect a CNN model which processes
malaria cell images against white-box adversarial attacks. The modified CNN involves the
utilization of additional features- HOG, LBP, KAZE and SIFT along with features extracted
from the CNN inorder to learn efficiently and reduce the effect of attacks.
Accessibility Controls