Results 121 to 130 of about 9,242 (179)

Multi-branch network for double JPEG detection and localization. [PDF]

Sci Rep
Fouad AM, Zayed HH, Taha A.
europepmc   +1 more source

Exposing image splicing traces in scientific publications via uncertainty-guided refinement. [PDF]

Patterns (N Y)
Lin X, Tang W, Wang H, Liu Y, Ju Y, Wang S, Yu Z.   +6 more
europepmc   +1 more source

Recent Advances in Deep Learning-Based Source Camera Identification and Device Linking. [PDF]

Sensors (Basel)
Li Z, Law NF.
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Unmasking digital deceptions: An integrative review of deepfake detection, multimedia forensics, and cybersecurity challenges. [PDF]

MethodsX
Singh S, Dhumane A.
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LSTM autoencoder based parallel architecture for deepfake audio detection with dynamic residual encoding and feature fusion. [PDF]

Sci Rep
Muruganandham P, Thangasamy GR, Jayaraman S, Dharmarajan R.   +3 more
europepmc   +1 more source

Deepfake: definitions, performance metrics and standards, datasets, and a meta-review. [PDF]

Front Big Data
Altuncu E, Franqueira VNL, Li S.
europepmc   +1 more source

Federated reinforcement learning-driven multi-task optimization for robust and ethical edge internet of things security. [PDF]

Sci Rep
Li Y, Wang H, Xu G.
europepmc   +1 more source

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Adaptive matching for copy-move Forgery detection

2014 IEEE International Workshop on Information Forensics and Security (WIFS), 2014
The objective of copy-move forgery detection methods are to find copied regions within the same image. There are two main approaches to detect copy-move forgery: keypoint-based and block-based methods. Although the former is superior in terms of computational complexity, these methods neglect the smooth regions since they confine their search to ...
Zandi, Mohsen, Mahmoudi-Aznaveh, Ahmad, Azadeh Mansouri   +2 more
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Copy-move forgery detection using segmentation

2017 11th International Conference on Intelligent Systems and Control (ISCO), 2017
A copy-move forgery image will contain some part of the image copied and pasted to another portion of the same image. This may be done by a forger to cover some object or truth or to enhance the visual effect of the image. Nowadays, by using much advancement in image editing software forger can easily tamper the image.
null Bhavya Bhanu M P, null Arun Kumar M N   +1 more
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