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"

6 / 6 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 49 0 0 03 May 2025
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao H. Foroosh AAML 61 264 0 30 Nov 2018
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 255 36,362 0 25 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 284 5,835 0 08 Jul 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 294 75,800 0 18 May 2015