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Can Differential Privacy Practically Protect Collaborative Deep Learning
  Inference for the Internet of Things?

Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?

8 April 2021
Jihyeon Ryu
Yifeng Zheng
Yansong Gao
A. Abuadbba
Junyaup Kim
Dongho Won
Surya Nepal
Hyoungshick Kim
Cong Wang
ArXivPDFHTML

Papers citing "Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?"

3 / 3 papers shown
Title
Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models
Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models
Kuofeng Gao
Yufei Zhu
Yiming Li
Jiawang Bai
Yong-Liang Yang
Zerui Li
Shu-Tao Xia
41
0
0
05 May 2025
Privacy-preserving Security Inference Towards Cloud-Edge Collaborative
  Using Differential Privacy
Privacy-preserving Security Inference Towards Cloud-Edge Collaborative Using Differential Privacy
Yulong Wang
Xingshu Chen
Qixu Wang
FedML
32
3
0
13 Dec 2022
Split Learning without Local Weight Sharing to Enhance Client-side Data
  Privacy
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy
Ngoc Duy Pham
Tran Dang Khoa Phan
A. Abuadbba
Yansong Gao
Doan Nguyen
Naveen Chilamkurti
33
5
0
01 Dec 2022
1