Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks

15 July 2021

Papers citing "Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks"

6 / 6 papers shown

Title
Model uncertainty quantification using feature confidence sets for outcome excursions Junting Ren Armin Schwartzman 51 0 0 28 Apr 2025
Epistemic Uncertainty Quantification For Pre-trained Neural Network Hanjing Wang Qiang Ji UQCV 39 2 0 15 Apr 2024
Machine Learning on Dynamic Graphs: A Survey on Applications Sanaz Hasanzadeh Fard AI4CE 26 3 0 16 Jan 2024
On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks Huimin Zeng Zhenrui Yue Yang Zhang Ziyi Kou Lanyu Shang Dong Wang OOD AAML 33 7 0 03 Oct 2022
Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks John Bradshaw A. G. Matthews Zoubin Ghahramani BDL AAML 62 171 0 08 Jul 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016