Revelio: A Modular and Effective Framework for Reproducible Training and Evaluation of Morphing Attack Detectors-Reference-Cited by-同舟云学术

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Revelio: A Modular and Effective Framework for Reproducible Training and Evaluation of Morphing Attack Detectors

Published:2023 Issue: Volume:11 Page:120419-120437
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Borghi Guido¹^ORCID,Domenico Nicolò Di¹,Franco Annalisa¹^ORCID,Ferrara Matteo¹^ORCID,Maltoni Davide¹^ORCID

Affiliation:

1. Dipartimento di Informatica—Scienza e Ingegneria (DISI), Università di Bologna, Cesena, Italy

Funder

European Union’s Horizon 2020 Research and Innovation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10298215.pdf?arnumber=10298215

Reference61 articles.

1. A Face Morphing Detection Concept with a Frequency and a Spatial Domain Feature Space for Images on eMRTD

2. Automated Artifact Retouching in Morphed Images With Attention Maps

3. Deepfake Video Detection Using Recurrent Neural Networks

4. Combining Identity Features and Artifact Analysis for Differential Morphing Attack Detection

5. Differential Morph Face Detection using Discriminative Wavelet Sub-bands

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Face Restoration for Morphed Images Retouching;2024 12th International Workshop on Biometrics and Forensics (IWBF);2024-04-11

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