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UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label
  Inference Attacks Against Split Learning

UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning

20 August 2021
Ege Erdogan
Alptekin Kupcu
A. E. Cicek
    FedML
    MIACV
ArXivPDFHTML

Papers citing "UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning"

10 / 10 papers shown
Title
A Taxonomy of Attacks and Defenses in Split Learning
A Taxonomy of Attacks and Defenses in Split Learning
Aqsa Shabbir
Halil Ibrahim Kanpak
Alptekin Küpçü
Sinem Sav
41
0
0
09 May 2025
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning
  via Outlier Detection
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection
Ege Erdogan
Unat Teksen
Mehmet Salih Celiktenyildiz
Alptekin Kupcu
A. E. Cicek
27
4
0
16 Feb 2023
Label Inference Attack against Split Learning under Regression Setting
Label Inference Attack against Split Learning under Regression Setting
Shangyu Xie
Xin Yang
Yuanshun Yao
Tianyi Liu
Taiqing Wang
Jiankai Sun
FedML
16
9
0
18 Jan 2023
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative
  Multi-Modal Brain Tumor Segmentation
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation
H. Roth
Ali Hatamizadeh
Ziyue Xu
Can Zhao
Wenqi Li
Andriy Myronenko
Daguang Xu
FedML
31
9
0
22 Aug 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous
  Intelligence in Internet of Things: State of the Art and Future Directions
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions
Qiang Duan
Shijing Hu
Ruijun Deng
Zhihui Lu
FedML
23
61
0
20 Jul 2022
Similarity-based Label Inference Attack against Training and Inference
  of Split Learning
Similarity-based Label Inference Attack against Training and Inference of Split Learning
Junlin Liu
Xinchen Lyu
Qimei Cui
Xiaofeng Tao
FedML
14
26
0
10 Mar 2022
Feature Space Hijacking Attacks against Differentially Private Split
  Learning
Feature Space Hijacking Attacks against Differentially Private Split Learning
Grzegorz Gawron
P. Stubbings
AAML
16
20
0
11 Jan 2022
SEDML: Securely and Efficiently Harnessing Distributed Knowledge in
  Machine Learning
SEDML: Securely and Efficiently Harnessing Distributed Knowledge in Machine Learning
Yansong Gao
Qun Li
Yifeng Zheng
Guohong Wang
Jiannan Wei
Mang Su
6
3
0
26 Oct 2021
Label Leakage and Protection in Two-party Split Learning
Label Leakage and Protection in Two-party Split Learning
Oscar Li
Jiankai Sun
Xin Yang
Weihao Gao
Hongyi Zhang
Junyuan Xie
Virginia Smith
Chong-Jun Wang
FedML
122
139
0
17 Feb 2021
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
175
2,575
0
28 Mar 2008
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