首先,3DFed 具有一个指示机制,帮助攻击者从全局模型中获取关于之前周期攻击的反馈。这使得 3DFed 中的各种伪装模块能够估计联邦学习系统中的超参数,并根据反馈自适应调整它们的策略。 通过将指标植入后门模型,3DFed能够从全局模型中获得来自前一轮的攻击反馈,并动态调整这些后门隐蔽模块的超参数。 指标植入:在攻击模型...
However, FL is vulnerable to backdoor attack, an adversarial by poisoning training data, given the central server cannot access the original data directly. Most backdoor attack strategies focus on classification models and centralized domains. In this study, we propose a way of attacking federated ...
Federated Learning Backdoor Attack Based on Frequency Domain Injection Federated learning (FL) is a distributed machine learning framework that enables scattered participants to collaboratively train machine learning models wi... J Liu,C Peng,W Tan,... - 《Entropy》 被引量: 0发表: 2024年 基于联...
这意味着,攻击者会定期地将模型参数投影到围绕上一次迭代全局模型中心的球面上。这种方法保证了被毒害的模型参数不会大幅偏离原始模型,从而帮助IBA(Irreversible Backdoor Attack)绕过基于范数和距离检测的防御机制。数学上,这保证了模型参数的偏差在一定的限制范围内,即||wk − w|| ≤δ。 ### Poisoning-dimension...
"Li, Haoyang, et al. "3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning." 2023 IEEE Symposium on Security and Privacy (SP). IEEE, 2023." 本文提出了一种联邦学习场景下的后门攻击方法,对后门模型添加针对性的扰动,使其越过联邦学习后门防御。首先检测模...
Wang Y, Fan W, Yang K, Alhusaini N, Li J (2022) A Knowledge Distillation-Based Backdoor Attack in Federated Learning. arXiv preprint arXiv:2208.06176 Wehbi O, Arisdakessian S, Wahab OA, Otrok H, Otoum S, Mourad A, Guizani M (2023) FedMint: Intelligent Bilateral Client Selection in...
46 FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning Xinpeng Wang, Yongxin Guo, Xiaoying Tang 2024-10-15 arXiv https://github.com/sanphouwang/fedccrl https://doi.org/10.48550/arXiv.2410.11267 47 Adversarially Guided Stateful Defense Against Backdoor Attacks in Federat...
29 DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices Yongzhe Jia, Xuyun Zhang, Hongsheng Hu, Kim-Kwang Raymond Choo, Lianyong Qi, Xiaolong Xu, Amin Beheshti, Wanchun Dou 2024-12-08 arXiv https://github.com/jyzgh/DapperFL http://arxiv.org/abs/2412.058...
3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning 海边的卡夫卡 freshman4 人赞同了该文章 a. 作者旨在提出一个名为3DFed的框架,用于在联邦学习环境中发动隐蔽的后门攻击,同时能够适应和扩展以规避现有的防御机制。 b. 这件事的难点在于现有的后门攻击需要超出黑盒设置的信...
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...