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Found 9 papers, 0 papers with code
NPVForensics: Jointing Non-critical Phonemes and Visemes for Deepfake Detection
Next, we design a phoneme-viseme awareness module for cross-modal feature fusion and representation alignment, so that the modality gap can be reduced and the intrinsic complementarity of the two modalities can be better explored.
Image Splicing Detection, Localization and Attribution via JPEG Primary Quantization Matrix Estimation and Clustering
We assume that both the spliced regions and the background image have undergone a double JPEG compression, and use a local estimate of the primary quantization matrix to distinguish between spliced regions taken from different sources.
Efficient video integrity analysis through container characterization
Furthermore, it is capable of correctly identifying the operating system of the source device for most of the tampered videos.
Mining Generalized Features for Detecting AI-Manipulated Fake Faces
Recently, AI-manipulated face techniques have developed rapidly and constantly, which has raised new security issues in society.
Increased-confidence adversarial examples for deep learning counter-forensics
Transferability of adversarial examples is a key issue to apply this kind of attacks against multimedia forensics (MMF) techniques based on Deep Learning (DL) in a real-life setting.
Security Consideration For Deep Learning-Based Image Forensics
Instead of improving it, in this paper, the safety of deep learning based methods in the field of image forensics is taken into account.
Non-Local Graph-Based Prediction For Reversible Data Hiding In Images
If sufficiently smooth, we pose a maximum a posteriori (MAP) problem using either a quadratic Laplacian regularizer or a graph total variation (GTV) term as signal prior.
Secure Detection of Image Manipulation by means of Random Feature Selection
We address the problem of data-driven image manipulation detection in the presence of an attacker with limited knowledge about the detector.
Cryptography and Security
Source Camera Identification Based On Content-Adaptive Fusion Network
In this paper, we propose a solution to identify the source camera of the small-size images: content-adaptive fusion network.
