Do not get fooled: Defense against the one-pixel attack to protect IoT-enabled Deep Learning systems-Reference-Cited by-同舟云学术

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Do not get fooled: Defense against the one-pixel attack to protect IoT-enabled Deep Learning systems

Published:2021-11 Issue: Volume:122 Page:102627
ISSN:1570-8705
Container-title:Ad Hoc Networks
language:en
Short-container-title:Ad Hoc Networks

Author:

Husnoo Muhammad Akbar^ORCID,Anwar Adnan^ORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference44 articles.

1. The internet of things;Cui,2016

2. The internet of things: a survey;Li;Inf. Syst. Front.,2015

3. 5 iot trends to watch in 2021;Newman,2020

4. Attitudes and perceptions of iot security in critical societal services;Asplund;IEEE Access,2016

5. Growing opportunities in the internet of things;Fredrik,2019

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2. Shielding Object Detection: Enhancing Adversarial Defense through Ensemble Methods;2024 5th Information Communication Technologies Conference (ICTC);2024-05-10

3. A Holistic Review of Machine Learning Adversarial Attacks in IoT Networks;Future Internet;2024-01-19

4. OES-Fed: a federated learning framework in vehicular network based on noise data filtering;PeerJ Computer Science;2022-09-20

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