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An Experimental Study of Semantic Continuity for Deep Learning Models

An Experimental Study of Semantic Continuity for Deep Learning Models

19 November 2020
Shangxi Wu
Dongyuan Lu
Xian Zhao
Lizhang Chen
Jitao Sang
ArXivPDFHTML

Papers citing "An Experimental Study of Semantic Continuity for Deep Learning Models"

3 / 3 papers shown
Title
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI
Qi Huang
Emanuele Mezzi
Osman Mutlu
Miltiadis Kofinas
Vidya Prasad
Shadnan Azwad Khan
Elena Ranguelova
N. V. Stein
38
0
0
17 Jul 2024
A Survey of Robust Adversarial Training in Pattern Recognition:
  Fundamental, Theory, and Methodologies
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies
Zhuang Qian
Kaizhu Huang
Qiufeng Wang
Xu-Yao Zhang
OOD
AAML
ObjD
44
71
0
26 Mar 2022
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,813
0
08 Jul 2016
1