Furthermore, for the first time, we examine the effect of adversarial attacks on object detection in terms of a downstream task, image captioning; we show that where a method that can modify all object types leads to very obvious changes in captions, the changes from our constrained attack ...
Our attack adds the patch to a specific object, making the object detection model blind to the object, realizing an attack in the physical world (Fig. 1). Our attack can hide any class of the object. Here we mainly consider “person” as our target class because the misjudgment of the ...
随着科研人员对神经网络的研究，针对神经网络的 Adversarial Attack（对抗攻击）也越来越强大，然而大多数的研究还停留在数字领域层面。Jiajun Lu 等人也在 2017 年认为：现实世界中不需要担心对抗样本（NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles）。他们通过大量实验证明，...
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。
ICML 2018 的一篇论文《Adversarial Attack on Graph Structured Data》试图探讨对 GNN 网络进行对抗攻击,并尝试了多种算法。 虽然深度学习在计算机视觉、语音识别、NLP等领域中的很多任务都取得了显著的突破性成果,深度神经网络模型也越来越完善,但是这些技术是否真正成熟,产品是否足够安全、可靠?这些将成为以后越来越被...
An adversarial attack on object detectors. Contribute to veralauee/DPatch development by creating an account on GitHub.
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...
We stored it in four different subfolders, each alluding to the type of AA used (i.e., Adversarial Patch (AP), Fast Gradient Sign Method (FGSM), Multipixel Attack (MA), and Noise). The twelve AEs generated for each image in the dataset can be referred to as FGSM with epsilon value ...
1.A method of generating an adversarial attack on a black box object detection algorithm of a sensor, the method comprising:obtaining an initial training data set from the black box object detection algorithm, wherein the black box object detection algorithm performs object detection on initial inpu...
To address this concern, we frame the task as an adversarial attack challenge and introduce \textsc{AdvGPS}, a method capable of generating adversarial GPS signals which are also stealthy for individual agents within the system, significantly reducing object detection accuracy. To enhance the ...