VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise

5 June 2024

Papers citing "VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise"

18 / 18 papers shown

Title
Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation from SAR Images Siddharth Kothari Srinivasan Murali Sankalp Kothari Ujjwal Verma Jaya Sreevalsan-Nair 167 0 0 03 May 2025
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 60 240 0 01 Aug 2021
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 69 269 0 09 Jun 2020
Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks Jianhe Yuan Zhihai He AAML 39 22 0 23 Apr 2020
Generating diverse and natural text-to-speech samples using a quantized fine-grained VAE and auto-regressive prosody prior Guangzhi Sun Yu Zhang Ron J. Weiss Yuan Cao Heiga Zen Andrew Rosenberg Bhuvana Ramabhadran Yonghui Wu DiffM 68 92 0 06 Feb 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 529 10,540 0 12 Dec 2018
Adversarial Defense by Stratified Convolutional Sparse Coding Bo Sun Nian-hsuan Tsai Fangchen Liu Ronald Yu Hao Su AAML 49 76 0 30 Nov 2018
Defend Deep Neural Networks Against Adversarial Examples via Fixed and Dynamic Quantized Activation Functions Adnan Siraj Rakin Jinfeng Yi Boqing Gong Deliang Fan AAML MQ 43 50 0 18 Jul 2018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models Pouya Samangouei Maya Kabkab Rama Chellappa AAML GAN 82 1,176 0 17 May 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 208 4,989 0 02 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 252 8,856 0 25 Aug 2017
Detecting Adversarial Samples from Artifacts Reuben Feinman Ryan R. Curtin S. Shintre Andrew B. Gardner AAML 90 892 0 01 Mar 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 721 36,708 0 25 Aug 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 235 8,548 0 16 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 517 5,893 0 08 Jul 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 318 7,971 0 23 May 2016
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 286 18,587 0 06 Feb 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 422 16,944 0 20 Dec 2013