Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation

26 October 2023

Papers citing "Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation"

8 / 8 papers shown

Title
Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction Shaoxiang Wang Yaxu Xie Chun-Peng Chang Christen Millerdurai A. Pagani Didier Stricker 67 1 0 29 Nov 2024
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis Kira Maag Roman Resner Asja Fischer AAML 45 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
Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation Kira Maag Tobias Riedlinger UQCV 38 7 0 13 Mar 2023
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation Maksym Yatsura K. Sakmann N. G. Hua Matthias Hein J. H. Metzen AAML 52 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 108 33 0 11 Jan 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015