In this project, we aims at proposing an Unified and Efficient Adversary (UEA) for object detection. UEA can simultaneously attack two kinds of representative object detectors: proposal based detectors like Faster-rcnn, and regression based detector like SSD. In addition, UEA use a generative mechanism to generate adversarial examples, therefore, can efficiently perturbs all the frames in a video. Thus, UEA can attack both the image and video object detection. Next, we will show more results of UEA to attack SSD300 and Faster-RCNN on video data of ImageNet VID dataset.