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2308.02362
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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
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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
Hideaki Takahashi
SILM
67
2
0
29 Dec 2023
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
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
Oualid Zari
Chuan Xu
Giovanni Neglia
FedML
50
35
0
31 Oct 2021
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
Chang Wang
Jian Liang
Mingkai Huang
Bing Bai
Kun Bai
Hao Li
FedML
110
39
0
06 Sep 2020
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
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
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
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
283
4,168
0
18 Oct 2016
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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