Black-box attackPatch-based attacks introduce a perceptible but localized change to the input that induces misclassification. A limitation of current patch-based black-box attacks is that they perform poorly for
[论文总结] PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning说在前面ECCV 2020,原文链接: arxiv.org/abs/2004.05682原文代码: https://github.com/Chenglin-Yang/PatchAttack本文…
对抗样本(论文解读十一):PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning,程序员大本营,技术文章内容聚合第一站。
[5]A. Kurakin, I. Goodfellow, and S. Bengio, “Adversarial examples in the physical world,” ICLR Workshop, 2017. [6]J. Chen, M. I. Jordan, and M. J. Wainwright, “Hopskipjumpattack: A query-efficient decisi...
本文主要是研究黑盒 (black-box)条件下,基于本地已知替代模型(也可以说是白盒模型)进行迁移性对抗样本 (transfer-based attack)的生成。相比于State-of-the-art方法,我们在普通模型上平均可以提高3.7%个点,而在防御模型上,我们的方法可以平均提高接近10%。 Contribution: 提出了一种新颖的patch-wise的攻击方法,相...
If a player steers the Rift Herald into an enemy structure a bonus 2000 (+0-750 based on average champion level) damage will be dealt to the structure, 5 (+ the number of Hunger of the Void stacks of the user) Voidmites will be spawned to attack the tower, and the player will gain...
[10]B. Lim, D. Chen, Y . An, Z. Kalbarczyk, and R. Iyer, "Attack induced common-mode failures on plc-based safety system in a nuclear power plant: Practical experience report," in 2017 IEEE 22nd Pacific Rim International Symposium on Dependable Computing (PRDC), pages ...
Base ScoreAttack VectorAttack ComplexPrivs Req'dUser InteractScopeConfid- entialityInte- grityAvail- ability CVE-2024-20903 Java VM Create Session, Create Procedure Oracle Net No 6.5 Network Low Low None Un- changed None High None 19.3-19.21, 21.3-21.12 CVE-2023-38545 Oracle Spatial and Graph...
The configuration for Compute Nodes in a Pool based on the Azure Virtual Machines infrastructure. VMDiskSecurityProfile Specifies the security profile settings for the managed disk. Note: It can only be set for Confidential VMs and required when using Confidential VMs. VMExtension The configuration...
这些对抗样本通常会对每个像素进行少量修改,可以使用多种优化策略找到它们,例如L-BFGS,快速梯度符号方法(FGSM),DeepFool,投影梯度下降(PGD)以及最近提出了离散化输入的Logit空间投影梯度上升(LS-PGA)。 其他攻击方法试图仅修改图像中的少量像素(Jacobian-based saliency map),或修改图像固定位置的小块像素。