Search-and-Attack: Temporally Sparse Adversarial Perturbations on Videos

Search-and-Attack: Temporally Sparse Adversarial Perturbations on Videos

Modern neural networks are known to be vulnerable to adversarial attacks in various domains. Although most attack methods usually densely change the input values, recent works have shown that deep neural networks (DNNs) are also vulnerable to sparse perturbations. Spatially sparse attacks on images...

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Bibliographic Details
Main Authors: Hwan Heo, Dohwan Ko, Jaewon Lee, Youngjoon Hong, Hyunwoo J. Kim
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Action recognition
video classification
adversarial attack
sparse adversarial attack
safe AI
Online Access:https://ieeexplore.ieee.org/document/9592758/

Internet

https://ieeexplore.ieee.org/document/9592758/

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