91 citations · 217 across the 26 of their papers we have counts for
5 papers · 1 filter
Blockchain-based Secure Client Selection in Federated Learning
Truc Nguyen, Phuc Thai, Tre' R. Jeter +2
Despite the great potential of Federated Learning (FL) in large-scale distributed learning, the current system is still subject to several privacy issues due to the fact that local…
A Blockchain-based Iterative Double Auction Protocol using Multiparty State Channels
Truc D. T. Nguyen, My T. Thai
Although the iterative double auction has been widely used in many different applications, one of the major problems in its current implementations is that they rely on a trusted t…
Privacy Preserving Distributed Energy Trading
Shangyu Xie, Han Wang, Yuan Hong +1
The smart grid incentivizes distributed agents with local generation (e.g., smart homes, and microgrids) to establish multi-agent systems for enhanced reliability and energy consum…
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
NhatHai Phan, Minh Vu, Yang Liu +4
In this paper, we propose a novel Heterogeneous Gaussian Mechanism (HGM) to preserve differential privacy in deep neural networks, with provable robustness against adversarial exam…
Scalable Differential Privacy with Certified Robustness in Adversarial Learning
NhatHai Phan, My T. Thai, Han Hu +3
In this paper, we aim to develop a scalable algorithm to preserve differential privacy (DP) in adversarial learning for deep neural networks (DNNs), with certified robustness to ad…