A dual benchmarking study of facial forgery and facial forensics
Abstract In recent years, visual facial forgery has reached a level of sophistication that humans cannot identify fraud, which poses a significant threat to information security. A wide range of malicious applications have emerged, such as deepfake, fake news, defamation or blackmailing of celebriti...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
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| Series: | CAAI Transactions on Intelligence Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/cit2.12362 |
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| _version_ | 1841543336884699136 |
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| author | Minh Tam Pham Thanh Trung Huynh Thanh Tam Nguyen Thanh Toan Nguyen Thanh Thi Nguyen Jun Jo Hongzhi Yin Quoc Viet Hung Nguyen |
| author_facet | Minh Tam Pham Thanh Trung Huynh Thanh Tam Nguyen Thanh Toan Nguyen Thanh Thi Nguyen Jun Jo Hongzhi Yin Quoc Viet Hung Nguyen |
| author_sort | Minh Tam Pham |
| collection | DOAJ |
| description | Abstract In recent years, visual facial forgery has reached a level of sophistication that humans cannot identify fraud, which poses a significant threat to information security. A wide range of malicious applications have emerged, such as deepfake, fake news, defamation or blackmailing of celebrities, impersonation of politicians in political warfare, and the spreading of rumours to attract views. As a result, a rich body of visual forensic techniques has been proposed in an attempt to stop this dangerous trend. However, there is no comprehensive, fair, and unified performance evaluation to enlighten the community on best performing methods. The authors present a systematic benchmark beyond traditional surveys that provides in‐depth insights into facial forgery and facial forensics, grounding on robustness tests such as contrast, brightness, noise, resolution, missing information, and compression. The authors also provide a practical guideline of the benchmarking results, to determine the characteristics of the methods that serve as a comparative reference in this never‐ending war between measures and countermeasures. The authors’ source code is open to the public. |
| format | Article |
| id | doaj-art-c15b3723fcc446d2bd4942075d85ee0c |
| institution | Kabale University |
| issn | 2468-2322 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | CAAI Transactions on Intelligence Technology |
| spelling | doaj-art-c15b3723fcc446d2bd4942075d85ee0c2025-01-13T14:05:51ZengWileyCAAI Transactions on Intelligence Technology2468-23222024-12-01961377139710.1049/cit2.12362A dual benchmarking study of facial forgery and facial forensicsMinh Tam Pham0Thanh Trung Huynh1Thanh Tam Nguyen2Thanh Toan Nguyen3Thanh Thi Nguyen4Jun Jo5Hongzhi Yin6Quoc Viet Hung Nguyen7Griffith University Gold Coast Campus Queensland AustraliaEcole Polytechnique Federale de Lausanne Vaud SwitzerlandGriffith University Gold Coast Campus Queensland AustraliaFaculty of Information Technology HUTECH University Ho Chi Minh City VietnamDeakin University Geelong Victoria AustraliaGriffith University Gold Coast Campus Queensland AustraliaThe University of Queensland St Lucia Queensland AustraliaGriffith University Gold Coast Campus Queensland AustraliaAbstract In recent years, visual facial forgery has reached a level of sophistication that humans cannot identify fraud, which poses a significant threat to information security. A wide range of malicious applications have emerged, such as deepfake, fake news, defamation or blackmailing of celebrities, impersonation of politicians in political warfare, and the spreading of rumours to attract views. As a result, a rich body of visual forensic techniques has been proposed in an attempt to stop this dangerous trend. However, there is no comprehensive, fair, and unified performance evaluation to enlighten the community on best performing methods. The authors present a systematic benchmark beyond traditional surveys that provides in‐depth insights into facial forgery and facial forensics, grounding on robustness tests such as contrast, brightness, noise, resolution, missing information, and compression. The authors also provide a practical guideline of the benchmarking results, to determine the characteristics of the methods that serve as a comparative reference in this never‐ending war between measures and countermeasures. The authors’ source code is open to the public.https://doi.org/10.1049/cit2.12362benchmarkdeepfakedigital forensicsvisual facial forgery |
| spellingShingle | Minh Tam Pham Thanh Trung Huynh Thanh Tam Nguyen Thanh Toan Nguyen Thanh Thi Nguyen Jun Jo Hongzhi Yin Quoc Viet Hung Nguyen A dual benchmarking study of facial forgery and facial forensics CAAI Transactions on Intelligence Technology benchmark deepfake digital forensics visual facial forgery |
| title | A dual benchmarking study of facial forgery and facial forensics |
| title_full | A dual benchmarking study of facial forgery and facial forensics |
| title_fullStr | A dual benchmarking study of facial forgery and facial forensics |
| title_full_unstemmed | A dual benchmarking study of facial forgery and facial forensics |
| title_short | A dual benchmarking study of facial forgery and facial forensics |
| title_sort | dual benchmarking study of facial forgery and facial forensics |
| topic | benchmark deepfake digital forensics visual facial forgery |
| url | https://doi.org/10.1049/cit2.12362 |
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