Generating adversarial patches against YOLOv2

Adversarial attacks on machine learning models have seen increasing interest in the past years. By making only subtle changes to the input of a convolutional neural network, the output of the network can be swayed to output a completely different result. The first attacks did this by changing the pixel values of an input image slightly to fool a classifier to output the wrong class.

paper: https://lnkd.in/d5SnGYv

#yolo #deeplearning

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