eprintid: 20380
rev_number: 3
eprint_status: archive
userid: 1
dir: disk0/00/02/03/80
datestamp: 2025-11-06 06:21:36
lastmod: 2025-11-06 06:21:36
status_changed: 2025-11-06 06:21:36
type: conference_item
metadata_visibility: show
creators_name: Kamilin, Mohd Hafizuddin Bin
creators_name: Yamaguchi, Shingo
creators_name: Ahmadon, Mohd Anuaruddin Bin
title: Leveraging Trusted Input Framework to Correct and Forecast the Electricity Load in Smart City Zones Against Adversarial Attacks
ispublished: pub
note: Cited by: 1
date: 2024
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206575794&doi=10.1109%2fICFTSS61109.2024.10690268&partnerID=40&md5=15193f3a30266e2bdad07a2c8bfc973b
id_number: 10.1109/ICFTSS61109.2024.10690268
full_text_status: none
publication: ICFTSS 2024 - International Conference on Future Technologies for Smart Society
pagerange: 177 – 182
refereed: TRUE
isbn: 979-835037384-4
citation:   Kamilin, Mohd Hafizuddin Bin and Yamaguchi, Shingo and Ahmadon, Mohd Anuaruddin Bin  (2024) Leveraging Trusted Input Framework to Correct and Forecast the Electricity Load in Smart City Zones Against Adversarial Attacks.  In: UNSPECIFIED.