《An Invisible Black-box Backdoor Attack through Frequency Domain》生成扰动的方式较为简单但有效,通过对中、高频的幅值加入一定的扰动来生成中毒样本了。 一、研究动机 在空间域的图像扰动生成的对抗样本很难做到既不被人眼发现又能够被深度学习模型识别到trigger,目前的主要后门攻击主要分为白盒攻击以及黑盒...
Backdoor Attack through Frequency Domain 来自 arXiv.org 喜欢 0 阅读量: 130 作者:T Wang,Y Yao,F Xu,S An,H Tong,T Wang 摘要: Backdoor attacks have been shown to be a serious threat against deep learning systems such as biometric authentication and autonomous driving. An effective backdoor...
In this paper, we propose a simple but effective and invisible black-box backdoor attack FTrojan through trojaning the frequency domain. The key intuition is that triggering perturbations in the frequency domain correspond to small pixel-wise perturbations dispersed across the entire image, breaking ...
An Invisible Black-box Backdoor Attack through Frequency Domain. [pdf] [code] Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, and Ting Wang. ECCV, 2022. BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Le...
FTrojan ftrojann.py An Invisible Black-box Backdoor Attack through Frequency Domain ECCV 2022 Input-aware inputaware.py Input-Aware Dynamic Backdoor Attack NeurIPS 2020 Label Consistent lc.py Label-Consistent Backdoor Attacks Arxiv 2019 Low Frequency lf.py Rethinking the Backdoor Attacks’ Trigger...
To address this issue, studies [14], [16], [17] proposed a frequency-domain trigger injection method to achieve concealed triggers. Concurrently, most existing backdoor attack research, including [6], depends on neural network structures, despite the existence of methods to detect and remove ...
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis论文笔记 今晚不出海 4 人赞同了该文章 代码见:github.com/HazardFY/FIB 一.本文的创新点为: 1. 我们首次尝试在MIA领域开发统一的后门攻击方法,针对不同的医学成像模式和MIA任务。 2. 提出了一种基于频率注入的后门攻击方法,将后门触发...
Deep learning models are well known to be susceptible to backdoor attack, where the attacker only needs to provide a tampered dataset on which the triggers are injected. Models trained on the dataset will passively implant the backdoor, and triggers on the input can mislead the models during...
While research on graph backdoors has been conducted to some extent, it remains relatively scarce, with the majority of efforts concentrating on attack methodologies rather than strategies for defense against graph backdoors. Additionally, it is noteworthy that nearly all backdoor attacks presuppose the...
原话:we exploit the principle of adversarial attacks,当然有些模糊,接着看论文 Related Work 老生常谈 Irreversible Backdoor Attack (IBA) in FL FL Framework:这里用的是数据量来作为权重 Attacker Threat:只控制一个恶意client,且其持续上传(即文章说的fixed-frequency attack [28]),其不知道其他的client的任...