DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation

14 August 2019

Papers citing "DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation"

7 / 7 papers shown

Title
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation Kira Maag Asja Fischer AAML SSeg 36 3 0 26 Oct 2023
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation Kira Maag Asja Fischer AAML UQCV 23 4 0 22 May 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 53 121 0 17 Jan 2023
Backdoor Attacks Against Dataset Distillation Yugeng Liu Zheng Li Michael Backes Yun Shen Yang Zhang DD 42 28 0 03 Jan 2023
A deep learning model for burn depth classification using ultrasound imaging Sangrock Lee Rahul Rahul James Lukan Tatiana Boyko Kateryna Zelenova Basiel Makled Conner Parsey Jack Norfleet S. De MedIm 13 13 0 29 Mar 2022
Investigating Vulnerability to Adversarial Examples on Multimodal Data Fusion in Deep Learning Youngjoon Yu Hong Joo Lee Byeong Cheon Kim Jung Uk Kim Yong Man Ro AAML 36 18 0 22 May 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016