MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World. (arXiv:2312.17431v1 [cs.CR])

Recent research has shown that adversarial patches can manipulate outputs
from object detection models. However, the conspicuous patterns on these
patches may draw more attention and raise suspicions among humans. Moreover,
existing works have primarily focused on the attack performance of individual
models and have neglected the generation of adversarial patches for ensemble
attacks on multiple object detection models. To tackle these concerns, we
propose a novel approach referred to as the More Vivid Patch (MVPatch), which
aims to improve …

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