Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review

1 June 2023

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 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 Ruinan Jin Xiaoxiao Li AAML FedML MedIm 31 12 0 02 Jul 2022
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 Longling Zhang Bochen Shen A. Barnawi Shan Xi Neeraj Kumar Yi Wu FedML MedIm 73 80 0 26 Apr 2021