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Out of Distribution Detection and Adversarial Attacks on Deep Neural
  Networks for Robust Medical Image Analysis

Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis

10 July 2021
Anisie Uwimana
Ransalu Senanayake
    OOD
    MedIm
ArXivPDFHTML

Papers citing "Out of Distribution Detection and Adversarial Attacks on Deep Neural Networks for Robust Medical Image Analysis"

6 / 6 papers shown
Title
Adversarial Detection with a Dynamically Stable System
Adversarial Detection with a Dynamically Stable System
Xiaowei Long
Jie Lin
Xiangyuan Yang
AAML
43
0
0
11 Nov 2024
Uncertainty in AI: Evaluating Deep Neural Networks on
  Out-of-Distribution Images
Uncertainty in AI: Evaluating Deep Neural Networks on Out-of-Distribution Images
Jamiu Idowu
Ahmed Almasoud
22
1
0
04 Sep 2023
Towards Generating Adversarial Examples on Mixed-type Data
Towards Generating Adversarial Examples on Mixed-type Data
Han Xu
Menghai Pan
Zhimeng Jiang
Huiyuan Chen
Xiaoting Li
Mahashweta Das
Hao Yang
AAML
SILM
20
0
0
17 Oct 2022
AutoMO-Mixer: An automated multi-objective Mixer model for balanced,
  safe and robust prediction in medicine
AutoMO-Mixer: An automated multi-objective Mixer model for balanced, safe and robust prediction in medicine
Xinyu Chen
Jiahuan Lv
Dehua Feng
X. Mou
L. Bai
Shu Zhang
Zhiguo Zhou
27
1
0
04 Mar 2022
Robust Out-of-distribution Detection for Neural Networks
Robust Out-of-distribution Detection for Neural Networks
Jiefeng Chen
Yixuan Li
Xi Wu
Yingyu Liang
S. Jha
OODD
161
84
0
21 Mar 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
317
5,847
0
08 Jul 2016
1