Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks

Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks

17 December 2018

Xiang Li

Papers citing "Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks"

14 / 14 papers shown

Title
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification Mingkun Zhang Keping Bi Wei Chen J. Guo Xueqi Cheng BDL VLM 52 1 0 25 Feb 2025
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks Dario Serez Marco Cristani Alessio Del Bue Vittorio Murino Pietro Morerio AAML 78 0 0 04 Dec 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information Mingkun Zhang Jianing Li Wei Chen Jiafeng Guo Xueqi Cheng 37 6 0 12 Aug 2024
VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise Zhixun He Mukesh Singhal 28 1 0 05 Jun 2024
Language Guided Adversarial Purification Himanshu Singh A. V. Subramanyam AAML 41 2 0 19 Sep 2023
DiffDefense: Defending against Adversarial Attacks via Diffusion Models Hondamunige Prasanna Silva Lorenzo Seidenari A. Bimbo DiffM 41 6 0 07 Sep 2023
Chaotic Variational Auto encoder-based Adversarial Machine Learning Pavan Venkata Sainadh Reddy Yelleti Vivek Gopi Pranay V. Ravi DRL AAML 13 0 0 25 Feb 2023
Memory Defense: More Robust Classification via a Memory-Masking Autoencoder Eashan Adhikarla Danni Luo Brian D. Davison AAML 17 2 0 05 Feb 2022
MAD-VAE: Manifold Awareness Defense Variational Autoencoder Frederick Morlock Dingsu Wang AAML DRL 10 2 0 31 Oct 2020
Shape Defense Against Adversarial Attacks Ali Borji AAML 19 1 0 31 Aug 2020
Double Backpropagation for Training Autoencoders against Adversarial Attack Chengjin Sun Sizhe Chen Xiaolin Huang SILM AAML 20 5 0 04 Mar 2020
Adversarial Detection and Correction by Matching Prediction Distributions G. Vacanti A. V. Looveren AAML 8 15 0 21 Feb 2020
Purifying Adversarial Perturbation with Adversarially Trained Auto-encoders Hebi Li Qi Xiao Shixin Tian Jin Tian AAML 16 4 0 26 May 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016