Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks

10 March 2021

Papers citing "Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks"

6 / 6 papers shown

Title
ALMA: Aggregated Lipschitz Maximization Attack on Auto-encoders Chethan Krishnamurthy Ramanaik Arjun Roy Eirini Ntoutsi AAML 27 0 0 06 May 2025
On the Adversarial Robustness of Generative Autoencoders in the Latent Space Mingfei Lu Badong Chen AAML DRL 14 3 0 05 Jul 2023
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review Mathias Lundteigen Mohus Jinyue Li AAML 14 1 0 01 Jun 2023
Adversarial robustness of VAEs through the lens of local geometry Asif Khan Amos Storkey AAML DRL 11 2 0 08 Aug 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 19 12 0 18 Mar 2022
A Closer Look at the Adversarial Robustness of Information Bottleneck Models I. Korshunova David Stutz Alexander A. Alemi Olivia Wiles Sven Gowal 17 3 0 12 Jul 2021