Targeted Adversarial Perturbations for Monocular Depth Prediction

Neural Information Processing Systems 

We study the effect of adversarial perturbations on the task of monocular depth prediction. Specifically, we explore the ability of small, imperceptible additive perturbations to selectively alter the perceived geometry of the scene.

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