EasyDeep: An IoT friendly robust detection method for GAN generated deepfake images in social media

Peter Corcoran

EasyDeep: An IoT friendly robust detection method for GAN generated deepfake images in social media

Peter Corcoran

Electrical & Electronic Engineering

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

Original language	English (Ireland)
Title of host publication	Internet of Things. Technology and Applications: 4th IFIP International Cross-Domain Conference, IFIPIoT 2021, Virtual Event, November 4--5, 2021, Revised Selected Papers
Number of pages	19
Publication status	Published - 1 Jan 2022

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Mitra, Alakananda and Mohanty, Saraju P and Corcoran, Peter and Kougianos, Elias

Cite this

@inproceedings{624e56cacc314d1a8adf3678adf4e69f,

title = "EasyDeep: An IoT friendly robust detection method for GAN generated deepfake images in social media",

author = "Peter Corcoran",

year = "2022",

month = jan,

day = "1",

language = "English (Ireland)",

booktitle = "Internet of Things. Technology and Applications: 4th IFIP International Cross-Domain Conference, IFIPIoT 2021, Virtual Event, November 4--5, 2021, Revised Selected Papers",

}

EasyDeep: An IoT friendly robust detection method for GAN generated deepfake images in social media. / Corcoran, Peter.
Internet of Things. Technology and Applications: 4th IFIP International Cross-Domain Conference, IFIPIoT 2021, Virtual Event, November 4--5, 2021, Revised Selected Papers. 2022.

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - EasyDeep: An IoT friendly robust detection method for GAN generated deepfake images in social media

AU - Corcoran, Peter

PY - 2022/1/1

Y1 - 2022/1/1

M3 - Conference Publication

BT - Internet of Things. Technology and Applications: 4th IFIP International Cross-Domain Conference, IFIPIoT 2021, Virtual Event, November 4--5, 2021, Revised Selected Papers

ER -