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Defending Label Inference Attacks in Split Learning under Regression Setting

Defending Label Inference Attacks in Split Learning under Regression Setting

Haoze Qiu
Fei Zheng
Chaochao Chen
Xiaolin Zheng
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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
48
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
102
694
0
03 Dec 2018