In this presentation, we will demonstrate a new perspective for object detector deception techniques. We will formulate the object detector attacking process, comparing it with the neural network training process, to show that they share an intrinsic similarity. In addition, by applying the techniques in training a neural network, our experiments show performance improvement for the adversarial attack upon the state-of-the-art techniques.