Shape matters deformable patch attack
Webb7 apr. 2024 · We introduce a computational procedure that operates entirely in the spectral domain, where the attacks take the form of small perturbations to short eigenvalue sequences; the resulting geometry is then synthesized via shape-from-spectrum recovery. Webb18 maj 2024 · A novel Deformable Patch Representation (DPR) is proposed that can harness the geometric structure of triangles to support the differentiable mapping between contour modeling and masks and allows simultaneous and efficient optimization of shape and texture to enhance attack performance. 11 PDF View 3 excerpts, cites background
Shape matters deformable patch attack
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Webb10 apr. 2024 · Low-level任务：常见的包括 Super-Resolution，denoise， deblur， dehze， low-light enhancement， deartifacts等。. 简单来说，是把特定降质下的图片还原成好看的图像，现在基本上用end-to-end的模型来学习这类 ill-posed问题的求解过程，客观指标主要是PSNR，SSIM，大家指标都刷的很 ... Webb25 jan. 2012 · Shape and the alignment of facets are crucial factors in particle assembly, even when the only interactions between particles are those that prevent them from …
Webb21 mars 2024 · First, STDE introduces target videos as patch textures and only adds patches on keyframes that are adaptively selected by temporal difference. Second, STDE takes minimizing the patch area as... Webb• In Section 4, we show the complete data of white box attacks under different areas, corresponding to Section 4.2, 4.3 and 4.6 of the main body. • In Section 5, we add …
Webb19 okt. 2024 · Patch attack is one of the most threatening forms, which has the potential to threaten the security of real-world systems. Previous work always assumes patches to … WebbThough deep neural networks (DNNs) have demonstrated excellent performance in computer vision, they are susceptible and vulnerable to carefully crafted adversarial …
WebbPatch attacks, one of the most threatening forms of physical attack in adversarial examples, can lead networks to induce misclassification by modifying pixels arbitrarily in a continuous...
http://www.fudanroilab.com/2024/10/19/Shape-Matters-Deformable-Patch-Attack.html phoenix therapy brightonWebbThough deep neural networks (DNNs) have demonstrated excellent performance in computer vision, they are susceptible and vulnerable to carefully crafted adversarial examples which can mislead DNNs to incorrect outputs. Patch … phoenix thermal resort - taupoWebbShuang Wu's 8 research works with 29 citations and 47 reads, including: Shape Matters: Deformable Patch Attack. Shuang Wu's research while affiliated with Tencent and other places. Overview. tt shop bremenShape Matters: Deformable Patch Attack 1 Introduction. Despite achieving considerably excellent performance on various computer vision tasks [ 4, 13, 14, 15,... 2 Related Work. Adversarial Patch. The adversarial patch currently can be mainly divided into iterative-based and... 3 Method. In this ... ttshopnicecWebbLatency Matters: Real-Time Action Forecasting Transformer ... Generalizable Local Feature Pre-training for Deformable Shape Analysis SOUHAIB ATTAIKI · Lei Li · Maks Ovsjanikov Quantum Multi-Model Fitting ... Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning phoenix thermal barrier boxWebbShape Matters: Deformable Patch Attack Oct 2024 Zhaoyu Chen Bo Li Shuang Wu [...] Wenqiang Zhang Bo Li Lv Tang Senyun Kuang [...] Shouhong Ding +5 Federated Learning with Label Distribution Skew... phoenix thermastorWebb19 okt. 2024 · Previous work always assumes patches to have fixed shapes, such as circles or rectangles, and it does not consider the shape of patches as a factor in patch attacks. To explore this issue, we propose a novel Deformable Patch Representation (DPR) that can harness the geometric structure of triangles to support the differentiable … tt shop kirrlach