4 citations · 12 across the 6 of their papers we have counts for
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cs.CR2023
Privacy-Preserving Federated Discovery of DNA Motifs with Differential Privacy
Yao Chen, Wensheng Gan, Gengsen Huang +2
DNA motif discovery is an important issue in gene research, which aims to identify transcription factor binding sites (i.e., motifs) in DNA sequences to reveal the mechanisms that…
cs.CR2023★ 2 cited
Federated Learning for Metaverse: A Survey
Yao Chen, Shan Huang, Wensheng Gan +2
The metaverse, which is at the stage of innovation and exploration, faces the dilemma of data collection and the problem of private data leakage in the process of development. This…
cs.CR2022★ 3 cited
Federated Learning Attacks and Defenses: A Survey
Yao Chen, Yijie Gui, Hong Lin +2
In terms of artificial intelligence, there are several security and privacy deficiencies in the traditional centralized training methods of machine learning models by a server. To…