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Found 9 papers, 3 papers with code
Imperceptible Protection against Style Imitation from Diffusion Models
Recent progress in diffusion models has profoundly enhanced the fidelity of image generation, but it has raised concerns about copyright infringements.
Advancing Beyond Identification: Multi-bit Watermark for Large Language Models
By independently embedding sub-units of messages, the proposed method outperforms the existing works in terms of robustness and latency.
Robust Multi-bit Natural Language Watermarking through Invariant Features
Recent years have witnessed a proliferation of valuable original natural language contents found in subscription-based media outlets, web novel platforms, and outputs of large language models.
DHNet: Double MPEG-4 Compression Detection via Multiple DCT Histograms
In this article, we aim to detect the double compression of MPEG-4, a universal video codec that is built into surveillance systems and shooting devices.
Frame-rate Up-conversion Detection Based on Convolutional Neural Network for Learning Spatiotemporal Features
The proposed network uses a stack of consecutive frames as the input and effectively learns interpolation artifacts using network blocks to learn spatiotemporal features.
WAN: Watermarking Attack Network
Multi-bit watermarking (MW) has been developed to improve robustness against signal processing operations and geometric distortions.
Deep Convolutional Neural Network for Identifying Seam-Carving Forgery
Seam carving is a representative content-aware image retargeting approach to adjust the size of an image while preserving its visually prominent content.
BitMix: Data Augmentation for Image Steganalysis
Convolutional neural networks (CNN) for image steganalysis demonstrate better performances with employing concepts from high-level vision tasks.
Double JPEG Detection in Mixed JPEG Quality Factors using Deep Convolutional Neural Network
Double JPEG detection is essential for detecting various image manipulations.
