Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation

22 May 2023

Papers citing "Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation"

9 / 9 papers shown

Title
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis Kira Maag Roman Resner Asja Fischer AAML 24 0 0 19 Aug 2024
Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion Edgar Heinert Matthias Rottmann Kira Maag Karsten Kahl 17 6 0 14 Feb 2024
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation Kira Maag Asja Fischer AAML SSeg 34 3 0 26 Oct 2023
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects Kira Maag Robin Shing Moon Chan Svenja Uhlemeyer K. Kowol Hanno Gottschalk 32 19 0 05 Oct 2022
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation Maksym Yatsura K. Sakmann N. G. Hua Matthias Hein J. H. Metzen AAML 50 17 0 13 Sep 2022
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing Andreas Bär Jonas Löhdefink Nikhil Kapoor Serin Varghese Fabian Hüger Peter Schlicht Tim Fingscheidt AAML 106 33 0 11 Jan 2021
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 195 3,529 0 20 Aug 2019
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 206 14,367 0 07 Oct 2016