Adversarial Attacks on Variational Autoencoders

12 June 2018

Papers citing "Adversarial Attacks on Variational Autoencoders"

8 / 8 papers shown

Title
Support is All You Need for Certified VAE Training Changming Xu Debangshu Banerjee Deepak Vasisht Gagandeep Singh AAML 39 0 0 16 Apr 2025
A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse Zhongliang Guo Lei Fang Jingyu Lin Yifei Qian Shuai Zhao Zeyu Wang Zeyu Wang Cunjian Chen Ognjen Arandjelović Chun Pong Lau DiffM AAML 40 6 0 20 Aug 2024
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 31 12 0 18 Mar 2022
Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 26 10 0 10 Mar 2021
A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models Ferhat Ozgur Catak Samed Sivaslioglu Kevser Sahinbas AAML 21 7 0 17 Oct 2020
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders A. Camuto M. Willetts Stephen J. Roberts Chris Holmes Tom Rainforth AAML DRL 21 29 0 14 Jul 2020
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training Eran Segalis Eran Galili 10 16 0 17 Jun 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 263 5,833 0 08 Jul 2016