Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1809.03272
Cited By
Privacy-Preserving Deep Learning via Weight Transmission
10 September 2018
L. T. Phong
T. Phuong
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Privacy-Preserving Deep Learning via Weight Transmission"
9 / 9 papers shown
Title
Cryptography approach for Secure Outsourced Data Storage in Cloud Environment
Rishabh Gupta
D. Saxena
Ashutosh Kumar Singh
38
0
0
14 Jun 2023
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence
Veronika Stephanie
I. Khalil
Mohammad Saidur Rahman
Mohammed Atiquzzaman
FedML
13
10
0
16 May 2023
A Privacy-Preserving Model based on Differential Approach for Sensitive Data in Cloud Environment
Ashutosh Kumar Singh
Rishabh Gupta
22
36
0
23 Dec 2022
Scalable Multi-Party Privacy-Preserving Gradient Tree Boosting over Vertically Partitioned Dataset with Outsourced Computations
Kennedy Edemacu
Beakcheol Jang
Jong Wook Kim
22
1
0
07 Feb 2022
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications
Hitoshi Kiya
AprilPyone Maungmaung
Yuma Kinoshita
Shoko Imaizumi
Sayaka Shiota
27
58
0
26 Jan 2022
Data Security and Privacy in Cloud Computing: Concepts and Emerging Trends
Rishabh Gupta
D. Saxena
Ashutosh Kumar Singh
15
23
0
21 Aug 2021
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILM
MIACV
23
71
0
04 Jul 2021
Abnormal Client Behavior Detection in Federated Learning
Suyi Li
Yong Cheng
Yang Liu
Wei Wang
Tianjian Chen
AAML
8
134
0
22 Oct 2019
To Drop or Not to Drop: Robustness, Consistency and Differential Privacy Properties of Dropout
Prateek Jain
Vivek Kulkarni
Abhradeep Thakurta
Oliver Williams
52
30
0
06 Mar 2015
1