Universal adversarial perturbations are image-agnostic and model-independent noise that. when added to any image. can mislead the trained deep convolutional neural networks into the wrong prediction. Since these universal adversarial perturbations can seriously jeopardize the security and integrity of practical deep learning applications. https://www.excellentphoto.shop/product-category/drone/