Federated learning (FL) has recently emerged as a promising solution under this new reality. Existing FL protocol design has been shown to exhibit vulnerabilities which can be exploited by adversaries both within and without the system to compromise data privacy. It is thus of paramount importance...
Federated learning (FL) has nourished a promising method for data silos, which enables multiple participants to construct a joint model collaboratively wit... J Zhang,H Zhu,F Wang,... - 《Security & Communication Networks》 被引量: 0发表: 2022年 Threats to Federated Learning: A Survey With...
A comprehensive survey of federated transfer learning: challenges, methods and applications Federated learning (FL) is a distributed machine learning (ML) approach that enables models to be trained on client devices while ensuring the privacy of u... W Guo,F Zhuang,X Zhang,... - 计算机科学前沿...
^McMahan HB, et al. Communication-efficient learning of deep networks from decentralized data, ICAI, 2017 ^WANG Shuang, et al. EXpectation Propagation LOgistic REgRession (EXPLORER): distributed privacy-preserving online model learning. J Biomed Inform. 2013 ^Jiang et al. WebGLORE: a web servic...
Table 1. Survey organisation. SectionContent Section 2 Basic UAV components, FANET architectures and their operation are outlined. Section 3 Existing surveys related to FANET security and privacy, with their limitations discussed. We highlight our surveys’ novel contributions. Section 4 A comprehensive...
Machine learning has become prevalent in transforming diverse aspects of our daily lives through intelligent digital solutions. Advanced disease diagnosis, autonomous vehicular systems, and automated threat detection and triage are some prominent use cas
作者应该是参考了《How To Backdoor Federated Learning》这篇文章(替换攻击的鼻祖了,很久远了,)最后的推导结论是 L~mt+1≈nη(X−Gt)+Gt Full Combination Backdoor Attack 1)Generate Full Combination Trigger. 这里面生成的trigger,包含的种类为M个,(理解为m个小trigger组合,其共有M种可能,减去全空和...
In addition, usability issues are gaining more attention as a way to provide end-user focused security mechanism where the users can intuitively learn and use them, without complexity or deep learning curve, to protect their data. Traditionally the practice in the cybersecurity community has been ...
A Survey on Network Attack Surface Mapping Everson, DouglasCheng, Long Unveiling the Threat: Investigating Distributed and Centralized Backdoor Attacks in Federated Graph Neural Networks Xu, JingKoffas, StefanosPicek, Stjepan Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against...
The survey covers a detailed discussion on APT attack phases and comparative study on threat life-cycle specification by various organizations. This work also addresses the APT attack attribution and countermeasures against these attacks from classical signature and heuristic based detection to modern ...