Indirect Local Attacks for Context-aware Semantic Segmentation Networks

29 Nov 2019Krishna Kanth NakkaMathieu Salzmann

Recently, deep networks have achieved impressive semantic segmentation performance, in particular thanks to their use of larger contextual information. In this paper, we show that the resulting networks are sensitive not only to global attacks, where perturbations affect the entire input image, but also to indirect local attacks where perturbations are confined to a small image region that does not overlap with the area that we aim to fool... (read more)

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