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SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split
  Learning

SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning

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

Papers citing "SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning"

14 / 14 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
43
0
0
09 May 2025
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)
Phillip Rieger
Alessandro Pegoraro
Kavita Kumari
Tigist Abera
Jonathan Knauer
A. Sadeghi
AAML
48
2
0
11 Jan 2025
Just a Simple Transformation is Enough for Data Protection in Vertical
  Federated Learning
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning
Andrei Semenov
Philip Zmushko
Alexander Pichugin
Aleksandr Beznosikov
88
0
0
16 Dec 2024
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against
  Split Learning
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning
Xiaoyang Xu
Mengda Yang
Wenzhe Yi
Ziang Li
Juan Wang
Hongxin Hu
Yong Zhuang
Yaxin Liu
AAML
24
4
0
07 May 2024
Communication-Efficient Training Workload Balancing for Decentralized
  Multi-Agent Learning
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning
Seyed Mahmoud Sajjadi Mohammadabadi
Lei Yang
Feng Yan
Junshan Zhang
36
5
0
01 May 2024
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid
  Load Forecasting
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting
Asif Iqbal
P. Gope
Biplab Sikdar
28
1
0
03 Mar 2024
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic
  Tiering Approach
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach
Seyed Mahmoud Sajjadi Mohammadabadi
Syed Zawad
Feng Yan
Lei Yang
FedML
27
7
0
09 Dec 2023
Passive Inference Attacks on Split Learning via Adversarial
  Regularization
Passive Inference Attacks on Split Learning via Adversarial Regularization
Xiaochen Zhu
Xinjian Luo
Yuncheng Wu
Yangfan Jiang
Xiaokui Xiao
Beng Chin Ooi
FedML
26
9
0
16 Oct 2023
On the Trustworthiness Landscape of State-of-the-art Generative Models:
  A Survey and Outlook
On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook
Mingyuan Fan
Chengyu Wang
Cen Chen
Yang Liu
Jun Huang
HILM
36
3
0
31 Jul 2023
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for
  thin clients
PFSL: Personalized & Fair Split Learning with Data & Label Privacy for thin clients
Manas Wadhwa
Gagan Raj Gupta
Ashutosh Sahu
Rahul Saini
Vidhi Mittal
FedML
19
6
0
19 Mar 2023
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
46
4
0
16 Feb 2023
GAN-based Vertical Federated Learning for Label Protection in Binary
  Classification
GAN-based Vertical Federated Learning for Label Protection in Binary Classification
Yujin Han
Leying Guan
FedML
35
0
0
04 Feb 2023
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
31
61
0
20 Jul 2022
Feature Space Hijacking Attacks against Differentially Private Split
  Learning
Feature Space Hijacking Attacks against Differentially Private Split Learning
Grzegorz Gawron
P. Stubbings
AAML
24
20
0
11 Jan 2022
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