Results 51 to 60 of about 130,964 (204)
Camera-based Image Forgery Localization using Convolutional Neural Networks
, 2018 Camera fingerprints are precious tools for a number of image forensics tasks. A well-known example is the photo response non-uniformity (PRNU) noise pattern, a powerful device fingerprint.
Cozzolino, Davide, Verdoliva, Luisa
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Lip forgery detection via spatial-frequency domain combination
网络与信息安全学报, 2022 In recent years, numerous “face-swapping” videos have emerged in social networks, one of the representatives is the lip forgery with speakers.While making life more entertaining for the public, it poses a significant crisis for personal privacy and ...
Jiaying LIN +3 more
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Autoencoder with recurrent neural networks for video forgery detection
, 2017 Video forgery detection is becoming an important issue in recent years, because modern editing software provide powerful and easy-to-use tools to manipulate videos.
Cozzolino, Davide +3 more
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Self-Information Forgery Mining for Face Forgery Detection
Applied Mathematics and Nonlinear SciencesAbstract In the face of rapid advances in face forgery technology, effective detection methods have become crucial to maintain the authenticity of digital media. Deep learning technology has provided new strategies for recognizing and preventing face forgery in recent years.
Xiaozhuo Wang, Jianyu Wei
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, 2020 Many venerable norms in inheritance law were designed to prevent forgery. Most prominently, since 1837, the Wills Act has required testators to express their last wishes in a signed and witnessed writing.
Horton, David, Weisbord, Reid Kress
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Towards General Visual-Linguistic Face Forgery Detection
, 2023 Deepfakes are realistic face manipulations that can pose serious threats to security, privacy, and trust. Existing methods mostly treat this task as binary classification, which uses digital labels or mask signals to train the detection model. We argue that such supervisions lack semantic information and interpretability.
Sun, Ke +6 more
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IR-Capsule: Two-Stream Network for Face Forgery Detection
Cognitive Computation, 2022 With the emergence of deep learning, generating forged images or videos has become much easier in recent years. Face forgery detection, as a way to detect forgery, is an important topic in digital media forensics. Despite previous works having made remarkable progress, the spatial relationships of each part of the face that has significant forgery ...
Lin, Kaihan +7 more
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Research on the Face Forgery Detection Model Based on Adversarial Training and Disentanglement
Applied SciencesWith the advancement of generative models, face forgeries are becoming increasingly realistic, making face forgery detection a hot topic in research. The primary challenge in face forgery detection is the inadequate generalization performance.
Yidi Wang, Hui Fu, Tongkai Wu
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Image Splicing Localization Using A Multi-Task Fully Convolutional Network (MFCN)
, 2017 In this work, we propose a technique that utilizes a fully convolutional network (FCN) to localize image splicing attacks. We first evaluated a single-task FCN (SFCN) trained only on the surface label.
Kuo, C. -C. Jay +2 more
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Feature Representation for Online Signature Verification
, 2015 Biometrics systems have been used in a wide range of applications and have improved people authentication. Signature verification is one of the most common biometric methods with techniques that employ various specifications of a signature.
Fathy, Mahmood +3 more
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