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...
Saved in:
Main Authors: | Minh Tam Pham, Thanh Trung Huynh, Thanh Tam Nguyen, Thanh Toan Nguyen, Thanh Thi Nguyen, Jun Jo, Hongzhi Yin, Quoc Viet Hung Nguyen |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-12-01
|
Series: | CAAI Transactions on Intelligence Technology |
Subjects: | |
Online Access: | https://doi.org/10.1049/cit2.12362 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lip forgery detection via spatial-frequency domain combination
by: Jiaying LIN, et al.
Published: (2022-12-01) -
Robust deepfake detection method based on siamese network
by: LIN Shanhe
Published: (2024-04-01) -
Modal-Guided Multi-Domain Inconsistency Learning for Face Forgery Detection
by: Zishuo Guo, et al.
Published: (2024-12-01) -
Survey on adversarial attacks and defense of face forgery and detection
by: Shiyu HUANG, et al.
Published: (2023-08-01) -
Seam-Carving forgery detection based on expanded Markov features
by: Guo-rui SHENG, et al.
Published: (2014-06-01)