221 citations · 284 across the 12 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.CR2023
Enhancing Accuracy-Privacy Trade-off in Differentially Private Split Learning
Ngoc Duy Pham, Khoa Tran Phan, Naveen Chilamkurti
Split learning (SL) aims to protect user data privacy by distributing deep models between client-server and keeping private data locally. Only processed or `smashed' data can be tr…
cs.NI2023
Countering Eavesdroppers with Meta-learning-based Cooperative Ambient Backscatter Communications
Nam H. Chu, Nguyen Van Huynh, Diep N. Nguyen +5
This article introduces a novel lightweight framework using ambient backscattering communications to counter eavesdroppers. In particular, our framework divides an original message…