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Adversarial Robustness in Unsupervised Machine Learning: A Systematic
  Review

Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review

1 June 2023
Mathias Lundteigen Mohus
Jinyue Li
    AAML
ArXivPDFHTML

Papers citing "Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review"

4 / 4 papers shown
Title
Assessing Robustness of Machine Learning Models using Covariate
  Perturbations
Assessing Robustness of Machine Learning Models using Covariate Perturbations
Arun Prakash
A. Bhattacharyya
Eric Heim
Vijayan N. Nair Model
OOD
AAML
31
1
0
02 Aug 2024
Backdoor Attack is a Devil in Federated GAN-based Medical Image
  Synthesis
Backdoor Attack is a Devil in Federated GAN-based Medical Image Synthesis
Ruinan Jin
Xiaoxiao Li
AAML
FedML
MedIm
31
12
0
02 Jul 2022
On the Robustness of Quality Measures for GANs
On the Robustness of Quality Measures for GANs
Motasem Alfarra
Juan C. Pérez
Anna Frühstück
Philip H. S. Torr
Peter Wonka
Guohao Li
AAML
EGVM
84
10
0
31 Jan 2022
FedDPGAN: Federated Differentially Private Generative Adversarial
  Networks Framework for the Detection of COVID-19 Pneumonia
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia
Longling Zhang
Bochen Shen
A. Barnawi
Shan Xi
Neeraj Kumar
Yi Wu
FedML
MedIm
73
80
0
26 Apr 2021
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