Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection-Reference-Cited by-同舟云学术

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Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Jamil Huma¹,Liu Yajing²,Caglar Turgay¹,Cole Christina²,Blanchard Nathaniel¹,Peterson Christopher²,Kirby Michael²

Affiliation:

1. Colorado State University,Computer Science Department,Fort Collins,CO,USA

2. Colorado State University,Mathematics Department,Fort Collins,CO,USA

Funder

United States Air Force

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208517.pdf?arnumber=10208517

Reference33 articles.

1. Deep Residual Learning for Image Recognition

2. Utilizing Network Features to Detect Erroneous Inputs

3. Interpretability be yond feature attribution: Quantitative testing with concept activation vectors (tcav);kim,0

4. Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks

5. Unsupervised deep embedding for clustering analysis;xie;International Conference on Machine Learning,2016

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1. Exploring fMRI RDMs: enhancing model robustness through neurobiological data;Frontiers in Computer Science;2023-12-19

2. Integrating geometries of ReLU feedforward neural networks;Frontiers in Big Data;2023-11-14

3. Leveraging linear mapping for model-agnostic adversarial defense;Frontiers in Computer Science;2023-10-30

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