Corrigendum to ‘Evading generated-image detectors: A deep dithering approach’ [Signal Processing 197(2022) 108558] (Signal Processing (2022) 197, (S0165168422001050), (10.1016/j.sigpro.2022.108558))

Hao Xie; Jiangqun Ni; Jian Zhang; Weizhe Zhang; Jiwu Huang

doi:10.1016/j.sigpro.2022.108670

Corrigendum to ‘Evading generated-image detectors: A deep dithering approach’ [Signal Processing 197(2022) 108558] (Signal Processing (2022) 197, (S0165168422001050), (10.1016/j.sigpro.2022.108558))

Hao Xie
, Jiangqun Ni^*
, Jian Zhang
, Weizhe Zhang
, Jiwu Huang

^*Corresponding author for this work

Sun Yat-Sen University
Peng Cheng Laboratory
Harbin Institute of Technology
Shenzhen University

Research output: Contribution to journal › Comment/debate

Abstract

The authors regret that the affiliation of the corresponding author Jiangqun Ni is missing. The author Jiangqun Ni corresponds to two affiliations, "School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China" and "Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, China". The authors would like to apologise for any inconvenience caused.

Original language	English
Article number	108670
Journal	Signal Processing
Volume	200
DOIs	https://doi.org/10.1016/j.sigpro.2022.108670
State	Published - Nov 2022
Externally published	Yes

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10.1016/j.sigpro.2022.108670

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@article{c7f18646c96a4f18bef4bc836959c987,

title = "Corrigendum to {\textquoteleft}Evading generated-image detectors: A deep dithering approach{\textquoteright} [Signal Processing 197(2022) 108558] (Signal Processing (2022) 197, (S0165168422001050), (10.1016/j.sigpro.2022.108558))",

abstract = "The authors regret that the affiliation of the corresponding author Jiangqun Ni is missing. The author Jiangqun Ni corresponds to two affiliations, {"}School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China{"} and {"}Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, China{"}. The authors would like to apologise for any inconvenience caused.",

author = "Hao Xie and Jiangqun Ni and Jian Zhang and Weizhe Zhang and Jiwu Huang",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier B.V.",

year = "2022",

month = nov,

doi = "10.1016/j.sigpro.2022.108670",

language = "英语",

volume = "200",

journal = "Signal Processing",

issn = "0165-1684",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Corrigendum to ‘Evading generated-image detectors

T2 - A deep dithering approach’ [Signal Processing 197(2022) 108558] (Signal Processing (2022) 197, (S0165168422001050), (10.1016/j.sigpro.2022.108558))

AU - Xie, Hao

AU - Ni, Jiangqun

AU - Zhang, Jian

AU - Zhang, Weizhe

AU - Huang, Jiwu

PY - 2022/11

Y1 - 2022/11

N2 - The authors regret that the affiliation of the corresponding author Jiangqun Ni is missing. The author Jiangqun Ni corresponds to two affiliations, "School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China" and "Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, China". The authors would like to apologise for any inconvenience caused.

AB - The authors regret that the affiliation of the corresponding author Jiangqun Ni is missing. The author Jiangqun Ni corresponds to two affiliations, "School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China" and "Cyberspace Security Research Center, Peng Cheng Laboratory, Shenzhen, China". The authors would like to apologise for any inconvenience caused.

UR - https://www.scopus.com/pages/publications/85133528428

U2 - 10.1016/j.sigpro.2022.108670

DO - 10.1016/j.sigpro.2022.108670

M3 - 评论/辩论

AN - SCOPUS:85133528428

SN - 0165-1684

VL - 200

JO - Signal Processing

JF - Signal Processing

M1 - 108670

ER -

Corrigendum to ‘Evading generated-image detectors: A deep dithering approach’ [Signal Processing 197(2022) 108558] (Signal Processing (2022) 197, (S0165168422001050), (10.1016/j.sigpro.2022.108558))

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