The adversarial patch attack has become one of the most practical threat models for computer vision models in the physical world. We propose an efficient adversarial patch attack against a specific target class in the object detection model, called Invisibility Patch. Specifically, we generate an ...
If the object is applied with the adversarial patch, the detector cannot find the object in the image. However, the patch generated by the traditional method often looks obvious and strange, making it very conspicuous in the physical world and hard to attack the object detection model covertly....
对抗样本(论文解读一): DPATCH: An Adversarial Patch Attack on Object Detectors,程序员大本营,技术文章内容聚合第一站。
边界框区域的每个点是从图像的高度和宽度内的离散均匀随机分布中随机采样的。 调整大小的目标patch 是通过调整目标patch的大小来获得的,其中patch位于边界框掩码的值为1的区域中。调整大小的对象补丁与干净的图像连接在一起,并用作生成器输入。生成器通过自然地混合六个通道组合图像并平移它们以使它们类似于目标域图像...
Towards a physical-world adversarial patch for blinding object detection models 2021, Information Sciences Show abstract Assessment of solar photovoltaic potentials on urban noise barriers using street-view imagery 2021, Renewable Energy Citation Excerpt : Carrasco-Hernandez et al. reconstructed the street ...
"The primary aim of this work is to generate a structured patch in an arbitrary shape (called a 'logo' by us), termed as a 3-D adversarial logo that, when appended to a 3-D human mesh and then rendered into 2-D images, can consistently fool the object detector under different human...
对抗样本(论文解读一): DPATCH: An Adversarial Patch Attack on Object Detectors 准备写一个论文学习专栏,先以对抗样本相关为主,后期可能会涉及到目标检测相关领域。 内容不是纯翻译,包括自己的一些注解和总结,论文的结构、组织及相关描述,以及一些英语句子和相关工作的摘抄(可以用于相关领域论文的写作及扩展)。 对于...
bash run_pipeline_universal_patch.sh This script trains universal contextual adversarial patch for a chosen category and evaluates YOLO on the held out images patched with the universal patch. Please change the VOC category name and the category index to run for desired category. Train Grad Defense...
Nat- uralistic physical adversarial patch for object detectors. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 7848–7857, 2021. [16] Andrew Ilyas, Logan Engstrom, Anish Athalye, and Jessy Lin. Black-box adversarial attacks with ...
(2021). You cannot easily catch me: a low-detectable adversarial patch for object detectors. arXiv preprint. arXiv:2109.15177. Bao, Y. (2020). Sparse adversarial attack to object detection. arXiv preprint. arXiv:2012.13692. Wu, S., Dai, T., & Xia, S.-T. (2010). DPAttack: ...