Unlocking adversarial transferability: a security threat towards deep learning-based surveillance systems via black box inference attack- a case study on face mask surveillance-Reference-Cited by-同舟云学术

Unlocking adversarial transferability: a security threat towards deep learning-based surveillance systems via black box inference attack- a case study on face mask surveillance

Published:2023-08-10 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

sheikh Burhan Ul Haque^ORCID,Zafar Aasim

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16439-x.pdf

Reference47 articles.

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3. Alrashed S, Min-Allah N, Ali I, Mehmood R (2022) COVID-19 outbreak and the role of digital twin. Multimed Tools Appl 81(19):26857–26871. https://doi.org/10.1007/s11042-021-11664-8

4. Bania RK (2023) Ensemble of deep transfer learning models for real-time automatic detection of face mask. Multimed Tools Appl 82:25131–25153. https://doi.org/10.1007/s11042-023-14408-y

5. Chen PY, Zhang H, Sharma Y, Yi J, Hsieh CJ (2017, November 3) ZOO. Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security. https://doi.org/10.1145/3128572.3140448

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