5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CR2025
BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning
Bingguang Lu, Hongsheng Hu, Yuantian Miao +4
Federated learning (FL) has been widely adopted as a decentralized training paradigm that enables multiple clients to collaboratively learn a shared model without exposing their lo…
cs.LG2023★ 5 cited
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients
Victoria Huang, Shaleeza Sohail, Michael Mayo +4
Federated learning (FL), as an emerging artificial intelligence (AI) approach, enables decentralized model training across multiple devices without exposing their local training da…
cs.CR2022★ 3 cited
Explainable and Optimally Configured Artificial Neural Networks for Attack Detection in Smart Homes
Shaleeza Sohail, Zongwen Fan, Xin Gu +1
In recent years cybersecurity has become a major concern in adaptation of smart applications. Specially, in smart homes where a large number of IoT devices are used having a secure…