
The author explores the severity of data poisoning attacks in computer networks, highlighting the ineffectiveness of label flipping attacks and the success of feature poisoning attacks in fooling servers.


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Exposing-Vulnerabilities-of-Federated-Learning-Through-Data-Poisoning-Attacks-in-Computer-Networks


Exposing Vulnerabilities of Federated Learning Through Data Poisoning Attacks in Computer Networks


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The author explores the impact of poisoning attacks in Decentralized Federated Learning, focusing on the methodology to assess these attacks and their effects. By extending a gossipy simulator with an attack injector module, the study evaluates poisoning attacks in gossip learning algorithms.


analyzing-data-poisoning-attacks-in-gossip-learning


Analyzing Data Poisoning Attacks in Gossip Learning
