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Flexible Differentially Private Vertical Federated Learning with
  Adaptive Feature Embeddings

Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings

26 July 2023
Yuxi Mi
Hongquan Liu
Yewei Xia
Yiheng Sun
Jihong Guan
Shuigeng Zhou
    FedML
ArXiv (abs)PDFHTML

Papers citing "Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings"

11 / 11 papers shown
Title
AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine
  Learning
AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning
Hideaki Takahashi
SILM
67
2
0
29 Dec 2023
Differentially Private Vertical Federated Learning
Differentially Private Vertical Federated Learning
Thilina Ranbaduge
Ming Ding
FedML
70
14
0
13 Nov 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient
  Communication with ADMM
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
Chulin Xie
Pin-Yu Chen
Qinbin Li
Arash Nourian
Ce Zhang
Bo Li
FedML
67
16
0
20 Jul 2022
Efficient passive membership inference attack in federated learning
Efficient passive membership inference attack in federated learning
Oualid Zari
Chuan Xu
Giovanni Neglia
FedML
50
35
0
31 Oct 2021
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned
  Data
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
Runhua Xu
Nathalie Baracaldo
Yi Zhou
Ali Anwar
J. Joshi
Heiko Ludwig
FedML
60
78
0
05 Mar 2021
Hybrid Differentially Private Federated Learning on Vertically
  Partitioned Data
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data
Chang Wang
Jian Liang
Mingkai Huang
Bing Bai
Kun Bai
Hao Li
FedML
110
39
0
06 Sep 2020
SplitNN-driven Vertical Partitioning
SplitNN-driven Vertical Partitioning
Iker Ceballos
Vivek Sharma
Eduardo Mugica
Abhishek Singh
Alberto Roman
Praneeth Vepakomma
Ramesh Raskar
66
73
0
07 Aug 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
181
4,587
0
23 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
400
18,913
0
13 Feb 2020
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLRMIALMMIACV
283
4,168
0
18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
417
17,653
0
17 Feb 2016
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