A Blockchain-based federated learning framework for secure aggregation and fair incentives by XiaoHui Yang, TianChang Li

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Exploring the Limitations of Federated Learning: A Novel Wasserstein Metric-Based Poisoning Attack on Traffic Sign Classification by Suzan Almutairi, Ahmed Barnawi

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A Novel Efficient Certificateless Signature Scheme for the Prevention of Content Poisoning Attack in Named Data Networking-Based Internet of Things by Saddam Hussain, Syed Sajid Ullah, Abdu Gumaei, Mabrook Al-Rakhami, Ijaz Ahmad, Syed Muhammad Arif

Subjects: “…Content poisoning attack…”
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Robust-PFedproto: robust federated prototype learning based on personalized layers by XU Mingdi, LI Zhengxiao, WANG Zihang, JIN Chaoyang

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Edge computing privacy protection method based on blockchain and federated learning by Chen FANG, Yuanbo GUO, Yifeng WANG, Yongjin HU, Jiali MA, Han ZHANG, Yangyang HU

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Multi-Targeted Textual Backdoor Attack: Model-Specific Misrecognition via Trigger Position and Word Choice by Taehwa Lee, Soojin Lee, Hyun Kwon

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A Verifiable, Privacy-Preserving, and Poisoning Attack-Resilient Federated Learning Framework by Washington Enyinna Mbonu, Carsten Maple, Gregory Epiphaniou, Christo Panchev

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Blockchain-Enabled Federated Learning to Enhance Security and Privacy in Internet of Medical Things (IoMT) by zahra eskandari

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BPS-FL: Blockchain-Based Privacy-Preserving and Secure Federated Learning by Jianping Yu, Hang Yao, Kai Ouyang, Xiaojun Cao, Lianming Zhang

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DRLAttack: A Deep Reinforcement Learning-Based Framework for Data Poisoning Attack on Collaborative Filtering Algorithms by Jiaxin Fan, Mohan Li, Yanbin Sun, Peng Chen

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A Meta-Reinforcement Learning-Based Poisoning Attack Framework Against Federated Learning by Wei Zhou, Donglai Zhang, Hongjie Wang, Jinliang Li, Mingjian Jiang

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Enhanced Blockchain-Based Data Poisoning Defense Mechanism by Song-Kyoo Kim

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Securing federated learning: a defense strategy against targeted data poisoning attack by Ansam Khraisat, Ammar Alazab, Moutaz Alazab, Tony Jan, Sarabjot Singh, Md. Ashraf Uddin

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A Backdoor Approach With Inverted Labels Using Dirty Label-Flipping Attacks by Orson Mengara

Subjects: “…Poisoning attacks…”
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FedCVG: a two-stage robust federated learning optimization algorithm by Runze Zhang, Yang Zhang, Yating Zhao, Bin Jia, Wenjuan Lian

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A Federated Weighted Learning Algorithm Against Poisoning Attacks by Yafei Ning, Zirui Zhang, Hu Li, Yuhan Xia, Ming Li

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FedG2L: a privacy-preserving federated learning scheme base on “G2L” against poisoning attack by Mengfan Xu, Xinghua Li

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An Optimal Two-Step Approach for Defense Against Poisoning Attacks in Federated Learning by Yasir Ali, Kyung Hyun Han, Abdul Majeed, Joon S. Lim, Seong Oun Hwang

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AIDFL: An Information-Driven Anomaly Detector for Data Poisoning in Decentralized Federated Learning by Xiao Chen, Chao Feng, Shaohua Wang

Subjects: “…Data poisoning attacks…”
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Reducing Defense Vulnerabilities in Federated Learning: A Neuron-Centric Approach by Eda Sena Erdol, Hakan Erdol, Beste Ustubioglu, Guzin Ulutas, Iraklis Symeonidis

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