2 citations · 3 across the 5 of their papers we have counts for
5 papers
Distributional Black-Box Model Inversion Attack with Multi-Agent Reinforcement Learning
Huan Bao, Kaimin Wei, Yongdong Wu +2
A Model Inversion (MI) attack based on Generative Adversarial Networks (GAN) aims to recover the private training data from complex deep learning models by searching codes in the l…
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…
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…
Incentive Mechanism Design for Heterogeneous Peer-to-Peer Networks: A Stackelberg Game Approach
Xin Kang, Yongdong Wu
With high scalability, high video streaming quality, and low bandwidth requirement, peer-to-peer (P2P) systems have become a popular way to exchange files and deliver multimedia co…
A Trust-based Pollution Attack Prevention Scheme in Peer-to-Peer Streaming Networks
Xin Kang, Yongdong Wu
Nowadays, peer-to-peer (P2P) streaming systems have become a popular way to deliver multimedia content over the internet due to their low bandwidth requirement, high video streamin…