ID-insensitive deepfake detection model based on multi-attention mechanism Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1038/s41598-025-96254-6
Deepfake technology has enabled the widespread distribution of manipulated facial content online, raising serious societal concerns. In recent years, deepfake detection has emerged as a critical research focus. However, existing methods frequently overlook the connection between local details and overall image features, while also failing to address the problem of implicit identity leakage. Consequently, their performance is suboptimal, particularly in cross-dataset evaluations. Specifically, the proposed multi-attention deepfake detection model consists of the following three parts: (1) Texture Feature Enhancement: We employ CondenseNet to enhance texture features efficiently, preserving subtle details and ensuring feature integrity; (2) Multi-Scale Artifact Detection: We introduce an artifact detection module that identifies potentially manipulated regions, enabling localized detection and minimizing the impact of identity information. (3) Multi-Attention Mechanism: By generating multiple attention maps, our model prioritizes different regions of the input image, fusing both texture and local features to improve classification performance. Our method is evaluated on the FaceForensics++ and DFDC benchmarks for facial manipulation detection. Additionally, we assess its cross-dataset performance on Celeb-DF-v2, achieving state-of-the-art results.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-025-96254-6
- OA Status
- gold
- Cited By
- 1
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409082627
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4409082627Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-025-96254-6Digital Object Identifier
- Title
-
ID-insensitive deepfake detection model based on multi-attention mechanismWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-04-01Full publication date if available
- Authors
-
Yi Sheng, Z. Zou, Yu Zheng, Meng Pang, Wenjie Ou, Wei HanList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-025-96254-6Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1038/s41598-025-96254-6Direct OA link when available
- Concepts
-
Mechanism (biology), Computer science, Computational biology, Biology, Philosophy, EpistemologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
46Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4409082627 |
|---|---|
| doi | https://doi.org/10.1038/s41598-025-96254-6 |
| ids.doi | https://doi.org/10.1038/s41598-025-96254-6 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/40169897 |
| ids.openalex | https://openalex.org/W4409082627 |
| fwci | 4.77340731 |
| type | article |
| title | ID-insensitive deepfake detection model based on multi-attention mechanism |
| awards[0].id | https://openalex.org/G5436891240 |
| awards[0].funder_id | https://openalex.org/F4320321001 |
| awards[0].display_name | |
| awards[0].funder_award_id | No. U2 3A20304 |
| awards[0].funder_display_name | National Natural Science Foundation of China |
| biblio.issue | 1 |
| biblio.volume | 15 |
| biblio.last_page | 11168 |
| biblio.first_page | 11168 |
| topics[0].id | https://openalex.org/T12357 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9994999766349792 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1707 |
| topics[0].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[0].display_name | Digital Media Forensic Detection |
| topics[1].id | https://openalex.org/T11512 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.998199999332428 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Anomaly Detection Techniques and Applications |
| topics[2].id | https://openalex.org/T10775 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9977999925613403 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1707 |
| topics[2].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[2].display_name | Generative Adversarial Networks and Image Synthesis |
| funders[0].id | https://openalex.org/F4320321001 |
| funders[0].ror | https://ror.org/01h0zpd94 |
| funders[0].display_name | National Natural Science Foundation of China |
| is_xpac | False |
| apc_list.value | 1890 |
| apc_list.currency | EUR |
| apc_list.value_usd | 2190 |
| apc_paid.value | 1890 |
| apc_paid.currency | EUR |
| apc_paid.value_usd | 2190 |
| concepts[0].id | https://openalex.org/C89611455 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7787367105484009 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q6804646 |
| concepts[0].display_name | Mechanism (biology) |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.6633999943733215 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C70721500 |
| concepts[2].level | 1 |
| concepts[2].score | 0.33475762605667114 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q177005 |
| concepts[2].display_name | Computational biology |
| concepts[3].id | https://openalex.org/C86803240 |
| concepts[3].level | 0 |
| concepts[3].score | 0.14086320996284485 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[3].display_name | Biology |
| concepts[4].id | https://openalex.org/C138885662 |
| concepts[4].level | 0 |
| concepts[4].score | 0.0 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[4].display_name | Philosophy |
| concepts[5].id | https://openalex.org/C111472728 |
| concepts[5].level | 1 |
| concepts[5].score | 0.0 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q9471 |
| concepts[5].display_name | Epistemology |
| keywords[0].id | https://openalex.org/keywords/mechanism |
| keywords[0].score | 0.7787367105484009 |
| keywords[0].display_name | Mechanism (biology) |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.6633999943733215 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/computational-biology |
| keywords[2].score | 0.33475762605667114 |
| keywords[2].display_name | Computational biology |
| keywords[3].id | https://openalex.org/keywords/biology |
| keywords[3].score | 0.14086320996284485 |
| keywords[3].display_name | Biology |
| language | en |
| locations[0].id | doi:10.1038/s41598-025-96254-6 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S196734849 |
| locations[0].source.issn | 2045-2322 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2045-2322 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Scientific Reports |
| locations[0].source.host_organization | https://openalex.org/P4310319908 |
| locations[0].source.host_organization_name | Nature Portfolio |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319908, https://openalex.org/P4310319965 |
| locations[0].source.host_organization_lineage_names | Nature Portfolio, Springer Nature |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Scientific Reports |
| locations[0].landing_page_url | https://doi.org/10.1038/s41598-025-96254-6 |
| locations[1].id | pmid:40169897 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Scientific reports |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/40169897 |
| locations[2].id | pmh:oai:doaj.org/article:e12866c54df8458bb247ebc7037a6184 |
| locations[2].is_oa | False |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025) |
| locations[2].landing_page_url | https://doaj.org/article/e12866c54df8458bb247ebc7037a6184 |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:11962151 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Sci Rep |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/11962151 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5103276054 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-4083-7983 |
| authorships[0].author.display_name | Yi Sheng |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I20942203 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Information and Communication Engineering, Hainan University, Haikou, 570228, China. |
| authorships[0].institutions[0].id | https://openalex.org/I20942203 |
| authorships[0].institutions[0].ror | https://ror.org/03q648j11 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I20942203 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Hainan University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Yuncan Sheng |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | School of Information and Communication Engineering, Hainan University, Haikou, 570228, China. |
| authorships[1].author.id | https://openalex.org/A5065704033 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Z. Zou |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I20942203 |
| authorships[1].affiliations[0].raw_affiliation_string | School of Cyberspace Security (School of Cryptology), Hainan University, Haikou, 570228, China. |
| authorships[1].institutions[0].id | https://openalex.org/I20942203 |
| authorships[1].institutions[0].ror | https://ror.org/03q648j11 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I20942203 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Hainan University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Zhengrui Zou |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | School of Cyberspace Security (School of Cryptology), Hainan University, Haikou, 570228, China. |
| authorships[2].author.id | https://openalex.org/A5101608463 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-1223-2901 |
| authorships[2].author.display_name | Yu Zheng |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I20942203 |
| authorships[2].affiliations[0].raw_affiliation_string | School of Cyberspace Security (School of Cryptology), Hainan University, Haikou, 570228, China. |
| authorships[2].institutions[0].id | https://openalex.org/I20942203 |
| authorships[2].institutions[0].ror | https://ror.org/03q648j11 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I20942203 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Hainan University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Zongxuan Yu |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | School of Cyberspace Security (School of Cryptology), Hainan University, Haikou, 570228, China. |
| authorships[3].author.id | https://openalex.org/A5056569709 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-5271-242X |
| authorships[3].author.display_name | Meng Pang |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I20942203 |
| authorships[3].affiliations[0].raw_affiliation_string | School of Cyberspace Security (School of Cryptology), Hainan University, Haikou, 570228, China. |
| authorships[3].institutions[0].id | https://openalex.org/I20942203 |
| authorships[3].institutions[0].ror | https://ror.org/03q648j11 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I20942203 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Hainan University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Mengxue Pang |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | School of Cyberspace Security (School of Cryptology), Hainan University, Haikou, 570228, China. |
| authorships[4].author.id | https://openalex.org/A5012846747 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Wenjie Ou |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I20942203 |
| authorships[4].affiliations[0].raw_affiliation_string | School of Cyberspace Security (School of Cryptology), Hainan University, Haikou, 570228, China. [email protected]. |
| authorships[4].affiliations[1].raw_affiliation_string | Jiangsu Variable Supercomputer Technology Co., Ltd, Wuxi, 214100, China. [email protected]. |
| authorships[4].affiliations[2].raw_affiliation_string | Laboratory for Advanced Computing and Intelligence Engineering, Wuxi, 214100, China. [email protected]. |
| authorships[4].institutions[0].id | https://openalex.org/I20942203 |
| authorships[4].institutions[0].ror | https://ror.org/03q648j11 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I20942203 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Hainan University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Wei Ou |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Jiangsu Variable Supercomputer Technology Co., Ltd, Wuxi, 214100, China. [email protected]., Laboratory for Advanced Computing and Intelligence Engineering, Wuxi, 214100, China. [email protected]., School of Cyberspace Security (School of Cryptology), Hainan University, Haikou, 570228, China. [email protected]. |
| authorships[5].author.id | https://openalex.org/A5003660302 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-2177-004X |
| authorships[5].author.display_name | Wei Han |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I20942203 |
| authorships[5].affiliations[0].raw_affiliation_string | School of Cyberspace Security (School of Cryptology), Hainan University, Haikou, 570228, China. |
| authorships[5].institutions[0].id | https://openalex.org/I20942203 |
| authorships[5].institutions[0].ror | https://ror.org/03q648j11 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I20942203 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | Hainan University |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Wenbao Han |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | School of Cyberspace Security (School of Cryptology), Hainan University, Haikou, 570228, China. |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1038/s41598-025-96254-6 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | ID-insensitive deepfake detection model based on multi-attention mechanism |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12357 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9994999766349792 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1707 |
| primary_topic.subfield.display_name | Computer Vision and Pattern Recognition |
| primary_topic.display_name | Digital Media Forensic Detection |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W2390279801, https://openalex.org/W4391913857, https://openalex.org/W2358668433, https://openalex.org/W4396701345, https://openalex.org/W2376932109, https://openalex.org/W2001405890, https://openalex.org/W4396696052 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1038/s41598-025-96254-6 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S196734849 |
| best_oa_location.source.issn | 2045-2322 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2045-2322 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Scientific Reports |
| best_oa_location.source.host_organization | https://openalex.org/P4310319908 |
| best_oa_location.source.host_organization_name | Nature Portfolio |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319908, https://openalex.org/P4310319965 |
| best_oa_location.source.host_organization_lineage_names | Nature Portfolio, Springer Nature |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Scientific Reports |
| best_oa_location.landing_page_url | https://doi.org/10.1038/s41598-025-96254-6 |
| primary_location.id | doi:10.1038/s41598-025-96254-6 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S196734849 |
| primary_location.source.issn | 2045-2322 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2045-2322 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Scientific Reports |
| primary_location.source.host_organization | https://openalex.org/P4310319908 |
| primary_location.source.host_organization_name | Nature Portfolio |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319908, https://openalex.org/P4310319965 |
| primary_location.source.host_organization_lineage_names | Nature Portfolio, Springer Nature |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Scientific Reports |
| primary_location.landing_page_url | https://doi.org/10.1038/s41598-025-96254-6 |
| publication_date | 2025-04-01 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W3034552680, https://openalex.org/W4323355895, https://openalex.org/W3216864517, https://openalex.org/W3200414239, https://openalex.org/W4400391477, https://openalex.org/W3174508664, https://openalex.org/W4396547602, https://openalex.org/W2891145043, https://openalex.org/W2913399670, https://openalex.org/W4244929856, https://openalex.org/W2963720850, https://openalex.org/W6606298547, https://openalex.org/W4389474714, https://openalex.org/W3034214108, https://openalex.org/W3179508259, https://openalex.org/W4387497430, https://openalex.org/W2889677435, https://openalex.org/W2808763756, https://openalex.org/W2799785652, https://openalex.org/W3134377386, https://openalex.org/W3094470648, https://openalex.org/W2981803355, https://openalex.org/W3173581984, https://openalex.org/W3183999072, https://openalex.org/W2531409750, https://openalex.org/W3108854358, https://openalex.org/W2914447220, https://openalex.org/W2963684180, https://openalex.org/W3188897163, https://openalex.org/W3176241004, https://openalex.org/W1536680647, https://openalex.org/W2112796928, https://openalex.org/W2982058372, https://openalex.org/W3034713808, https://openalex.org/W2942074357, https://openalex.org/W6600120041, https://openalex.org/W2301937176, https://openalex.org/W2009130368, https://openalex.org/W2603123944, https://openalex.org/W3034196597, https://openalex.org/W2738947046, https://openalex.org/W2735904389, https://openalex.org/W3094728142, https://openalex.org/W2962958939, https://openalex.org/W3083246145, https://openalex.org/W2963993763 |
| referenced_works_count | 46 |
| abstract_inverted_index.a | 24 |
| abstract_inverted_index.By | 122 |
| abstract_inverted_index.In | 16 |
| abstract_inverted_index.We | 79, 98 |
| abstract_inverted_index.an | 100 |
| abstract_inverted_index.as | 23 |
| abstract_inverted_index.in | 59 |
| abstract_inverted_index.is | 56, 148 |
| abstract_inverted_index.of | 7, 49, 70, 116, 132 |
| abstract_inverted_index.on | 150, 166 |
| abstract_inverted_index.to | 45, 82, 142 |
| abstract_inverted_index.we | 161 |
| abstract_inverted_index.(1) | 75 |
| abstract_inverted_index.(2) | 94 |
| abstract_inverted_index.(3) | 119 |
| abstract_inverted_index.Our | 146 |
| abstract_inverted_index.and | 38, 90, 112, 139, 153 |
| abstract_inverted_index.for | 156 |
| abstract_inverted_index.has | 2, 21 |
| abstract_inverted_index.its | 163 |
| abstract_inverted_index.our | 127 |
| abstract_inverted_index.the | 4, 33, 47, 63, 71, 114, 133, 151 |
| abstract_inverted_index.DFDC | 154 |
| abstract_inverted_index.also | 43 |
| abstract_inverted_index.both | 137 |
| abstract_inverted_index.that | 104 |
| abstract_inverted_index.image | 40 |
| abstract_inverted_index.input | 134 |
| abstract_inverted_index.local | 36, 140 |
| abstract_inverted_index.maps, | 126 |
| abstract_inverted_index.model | 68, 128 |
| abstract_inverted_index.their | 54 |
| abstract_inverted_index.three | 73 |
| abstract_inverted_index.while | 42 |
| abstract_inverted_index.assess | 162 |
| abstract_inverted_index.employ | 80 |
| abstract_inverted_index.facial | 9, 157 |
| abstract_inverted_index.focus. | 27 |
| abstract_inverted_index.fusing | 136 |
| abstract_inverted_index.image, | 135 |
| abstract_inverted_index.impact | 115 |
| abstract_inverted_index.method | 147 |
| abstract_inverted_index.module | 103 |
| abstract_inverted_index.parts: | 74 |
| abstract_inverted_index.recent | 17 |
| abstract_inverted_index.subtle | 88 |
| abstract_inverted_index.years, | 18 |
| abstract_inverted_index.Feature | 77 |
| abstract_inverted_index.Texture | 76 |
| abstract_inverted_index.address | 46 |
| abstract_inverted_index.between | 35 |
| abstract_inverted_index.content | 10 |
| abstract_inverted_index.details | 37, 89 |
| abstract_inverted_index.emerged | 22 |
| abstract_inverted_index.enabled | 3 |
| abstract_inverted_index.enhance | 83 |
| abstract_inverted_index.failing | 44 |
| abstract_inverted_index.feature | 92 |
| abstract_inverted_index.improve | 143 |
| abstract_inverted_index.methods | 30 |
| abstract_inverted_index.online, | 11 |
| abstract_inverted_index.overall | 39 |
| abstract_inverted_index.problem | 48 |
| abstract_inverted_index.raising | 12 |
| abstract_inverted_index.regions | 131 |
| abstract_inverted_index.serious | 13 |
| abstract_inverted_index.texture | 84, 138 |
| abstract_inverted_index.Artifact | 96 |
| abstract_inverted_index.Deepfake | 0 |
| abstract_inverted_index.However, | 28 |
| abstract_inverted_index.artifact | 101 |
| abstract_inverted_index.consists | 69 |
| abstract_inverted_index.critical | 25 |
| abstract_inverted_index.deepfake | 19, 66 |
| abstract_inverted_index.enabling | 109 |
| abstract_inverted_index.ensuring | 91 |
| abstract_inverted_index.existing | 29 |
| abstract_inverted_index.features | 85, 141 |
| abstract_inverted_index.identity | 51, 117 |
| abstract_inverted_index.implicit | 50 |
| abstract_inverted_index.leakage. | 52 |
| abstract_inverted_index.multiple | 124 |
| abstract_inverted_index.overlook | 32 |
| abstract_inverted_index.proposed | 64 |
| abstract_inverted_index.regions, | 108 |
| abstract_inverted_index.research | 26 |
| abstract_inverted_index.results. | 170 |
| abstract_inverted_index.societal | 14 |
| abstract_inverted_index.achieving | 168 |
| abstract_inverted_index.attention | 125 |
| abstract_inverted_index.concerns. | 15 |
| abstract_inverted_index.detection | 20, 67, 102, 111 |
| abstract_inverted_index.different | 130 |
| abstract_inverted_index.evaluated | 149 |
| abstract_inverted_index.features, | 41 |
| abstract_inverted_index.following | 72 |
| abstract_inverted_index.introduce | 99 |
| abstract_inverted_index.localized | 110 |
| abstract_inverted_index.Detection: | 97 |
| abstract_inverted_index.Mechanism: | 121 |
| abstract_inverted_index.benchmarks | 155 |
| abstract_inverted_index.connection | 34 |
| abstract_inverted_index.detection. | 159 |
| abstract_inverted_index.frequently | 31 |
| abstract_inverted_index.generating | 123 |
| abstract_inverted_index.identifies | 105 |
| abstract_inverted_index.integrity; | 93 |
| abstract_inverted_index.minimizing | 113 |
| abstract_inverted_index.preserving | 87 |
| abstract_inverted_index.technology | 1 |
| abstract_inverted_index.widespread | 5 |
| abstract_inverted_index.CondenseNet | 81 |
| abstract_inverted_index.Multi-Scale | 95 |
| abstract_inverted_index.manipulated | 8, 107 |
| abstract_inverted_index.performance | 55, 165 |
| abstract_inverted_index.potentially | 106 |
| abstract_inverted_index.prioritizes | 129 |
| abstract_inverted_index.suboptimal, | 57 |
| abstract_inverted_index.Celeb-DF-v2, | 167 |
| abstract_inverted_index.Enhancement: | 78 |
| abstract_inverted_index.distribution | 6 |
| abstract_inverted_index.efficiently, | 86 |
| abstract_inverted_index.evaluations. | 61 |
| abstract_inverted_index.information. | 118 |
| abstract_inverted_index.manipulation | 158 |
| abstract_inverted_index.particularly | 58 |
| abstract_inverted_index.performance. | 145 |
| abstract_inverted_index.Additionally, | 160 |
| abstract_inverted_index.Consequently, | 53 |
| abstract_inverted_index.Specifically, | 62 |
| abstract_inverted_index.cross-dataset | 60, 164 |
| abstract_inverted_index.classification | 144 |
| abstract_inverted_index.FaceForensics++ | 152 |
| abstract_inverted_index.Multi-Attention | 120 |
| abstract_inverted_index.multi-attention | 65 |
| abstract_inverted_index.state-of-the-art | 169 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.5299999713897705 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.84760495 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |