Sitatapatra: Blocking the Transfer of Adversarial Samples

23 Jan 2019Ilia ShumailovXitong GaoYiren ZhaoRobert MullinsRoss AndersonCheng-Zhong Xu

Convolutional Neural Networks (CNNs) are widely used to solve classification tasks in computer vision. However, they can be tricked into misclassifying specially crafted `adversarial' samples -- and samples built to trick one model often work alarmingly well against other models trained on the same task... (read more)

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