☆ 4.4 Article

A defensive framework for deepfake detection under adversarial settings using temporal and spatial features

INTERNATIONAL JOURNAL OF INFORMATION SECURITY (2023)

On Improving Cross-dataset Generalization of Deepfake Detectors

Aakash Varma Nadimpalli et al.

Summary: This study proposes a deep fake detection method based on a hybrid combination of supervised and reinforcement learning, which improves cross-dataset generalization performance through image-specific augmentation selection and averaging of CNN classification scores.

2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022 (2022)

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Review Computer Science, Artificial Intelligence

A Survey on Deepfake Video Detection

Peipeng Yu et al.

Summary: Deepfake videos generated by deep learning algorithms have raised widespread concerns due to their potential threats to social stability. Current detection methods are not yet sufficient for real-world applications, and future research should focus more on generalization and robustness.

IET BIOMETRICS (2021)

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Proceedings Paper Computer Science, Artificial Intelligence

Video Face Manipulation Detection Through Ensemble of CNNs

Nicolo Bonettini et al.

Summary: The paper investigates the problem of face manipulation detection in video sequences targeting modern facial manipulation techniques, proposing a method to address the issue by ensembling different trained Convolutional Neural Network (CNN) models, which leads to promising results on two publicly available datasets with more than 119,000 videos.

2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (2021)

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Article Computer Science, Artificial Intelligence