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Defending Label Inference Attacks in Split Learning under Regression
  Setting

Defending Label Inference Attacks in Split Learning under Regression Setting

18 August 2023
Haoze Qiu
Fei Zheng
Chaochao Chen
Xiaolin Zheng
    FedML
    AAML
ArXivPDFHTML

Papers citing "Defending Label Inference Attacks in Split Learning under Regression Setting"

5 / 5 papers shown
Title
Deep Learning with Label Differential Privacy
Deep Learning with Label Differential Privacy
Badih Ghazi
Noah Golowich
Ravi Kumar
Pasin Manurangsi
Chiyuan Zhang
76
148
0
11 Feb 2021
CrypTFlow2: Practical 2-Party Secure Inference
CrypTFlow2: Practical 2-Party Secure Inference
Deevashwer Rathee
Mayank Rathee
Nishant Kumar
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
100
308
0
13 Oct 2020
NoPeek: Information leakage reduction to share activations in
  distributed deep learning
NoPeek: Information leakage reduction to share activations in distributed deep learning
Praneeth Vepakomma
Abhishek Singh
O. Gupta
Ramesh Raskar
MIACV
FedML
50
84
0
20 Aug 2020
Federated Learning with Differential Privacy: Algorithms and Performance
  Analysis
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
Kang Wei
Jun Li
Ming Ding
Chuan Ma
Heng Yang
Farokhi Farhad
Shi Jin
Tony Q.S. Quek
H. Vincent Poor
FedML
97
1,589
0
01 Nov 2019
Split learning for health: Distributed deep learning without sharing raw
  patient data
Split learning for health: Distributed deep learning without sharing raw patient data
Praneeth Vepakomma
O. Gupta
Tristan Swedish
Ramesh Raskar
FedML
105
694
0
03 Dec 2018
1