Black-box adversarial attacks on XSS attack detection modelQiuhua Wang aHui Yang aGuohua Wu aKim-Kwang Raymond Choo b EnvelopeZheng Zhang aGongxun Miao cYizhi Ren Person a EnvelopeComputers & Security
” arXiv preprint arXiv:1802.00420, 2018.N. Carlini and D. Wagner, “Adversarial Examples are not Easily Detected: Bypassing Ten Detection Methods,” in Workshop on Artificial Intelligence and Security, 2017, pp. 3–14.
However, it can also lead to comprehensive testing and detection of vulnerabilities. It serves as a balanced compromise between speed and comprehensiveness. Cost The black box test is typically more cost-effective than the white box test as it requires less time and expertise. It can be more ...
SignHunter attack[8]提出估计梯度符号并翻转扰动符号以提高查询效率。Square attack[9]是最先进的查询式攻击方法,它在图像的随机位置选择局部方形块来进行搜索更新攻击方向。 2.2 黑盒防御 与针对白盒攻击的防御相比,专门针对黑盒攻击设计的防御还没有得到很好的研究。最近的两项工作[10][11] 提出将当前查询与历史...
<DeepPayload(DeepBackDoor): Black-box Backdoor Attack on Deep Learning Models >阅读笔,程序员大本营,技术文章内容聚合第一站。
我们还利用显著性检测(saliency detection)来选择关键区域,在零阶优化中只估计梯度的符号而不估计梯度本身,从而进一步加速攻击过程。 我们可以在无目标攻击中直接使用训练好的模型,也可以在有目标攻击中稍加调整,节省计算时间。 Introduction 近年来用于各个方面的深度学习模型发展迅速,但这些模型对一些“对抗样本”很脆弱...
Fewer perturbations make it more imperceptible and easier to escape detection. The proposed method generates adversarial examples as similar as possible to the original time series and successfully attacks DNNs that are trained on University of California Riverside (UCR) time series datasets (Dau et ...
A Implementation of ECCV-22(A Large-scale Multiple-objective Method for Black-box Attack against Object Detection) - LiangSiyuan21/GARSDC
Systems and methods to generate an adversarial attack on a black box object detection algorithm of a sensor involve obtaining an initial training data set from the black box object
Paper tables with annotated results for DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection