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A Survey on Vulnerability of Federated Learning: A Learning Algorithm
  Perspective

A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective

27 November 2023
Xianghua Xie
Chen Hu
Hanchi Ren
Jingjing Deng
    FedML
    AAML
ArXivPDFHTML

Papers citing "A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective"

12 / 12 papers shown
Title
How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
Pascal Chang
Jingwei Tang
Markus Gross
Vinicius Azevedo
DiffM
28
0
0
03 Apr 2025
Distributed Learning for UAV Swarms
Distributed Learning for UAV Swarms
Chen Hu
Hanchi Ren
Jingjing Deng
Xianghua Xie
FedML
16
0
0
21 Oct 2024
Gradients Stand-in for Defending Deep Leakage in Federated Learning
Gradients Stand-in for Defending Deep Leakage in Federated Learning
H. Yi
H. Ren
C. Hu
Y. Li
J. Deng
Xin Xie
FedML
13
0
0
11 Oct 2024
Local Environment Poisoning Attacks on Federated Reinforcement Learning
Local Environment Poisoning Attacks on Federated Reinforcement Learning
Evelyn Ma
Praneet Rathi
Rasoul Etesami
FedML
32
3
0
05 Mar 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges
  and Future Research Directions
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions
Thuy-Dung Nguyen
Tuan Nguyen
Phi Le Nguyen
Hieu H. Pham
Khoa D. Doan
Kok-Seng Wong
AAML
FedML
32
55
0
03 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on
  Security, Robustness, and Privacy
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy
Yifei Zhang
Dun Zeng
Jinglong Luo
Zenglin Xu
Irwin King
FedML
69
47
0
21 Feb 2023
FLCert: Provably Secure Federated Learning against Poisoning Attacks
FLCert: Provably Secure Federated Learning against Poisoning Attacks
Xiaoyu Cao
Zaixi Zhang
Jinyuan Jia
Neil Zhenqiang Gong
FedML
OOD
71
59
0
02 Oct 2022
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for
  Federated Learning
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning
Hanchi Ren
Jingjing Deng
Xianghua Xie
SILM
AAML
FedML
46
74
0
02 May 2021
Turning Federated Learning Systems Into Covert Channels
Turning Federated Learning Systems Into Covert Channels
Gabriele Costa
Fabio Pinelli
S. Soderi
Gabriele Tolomei
FedML
29
9
0
21 Apr 2021
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
186
427
0
04 Mar 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
174
1,014
0
29 Nov 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
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