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- PIMoG: An Effective Screen-shooting Noise-Layer Simulation for Deep-Learning-Based Watermarking Network173
It is not necessary to quantitatively simulate the overall procedure in the screen-shooting noise layer, only including the most influenced distortions is enough to generate an effective noise layer with strong robustness, and the whole network can be trained end-to-end with such noise layer.
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- Tracing Text Provenance via Context-Aware Lexical Substitution102
A natural language watermarking scheme based on context-aware lexical substitution (LS) that employs BERT to suggest LS candidates by inferring the semantic relatedness between the candidates and the original sentence and has a better transferability than existing methods.
- Local Geometric Distortions Resilient Watermarking Scheme Based on Symmetry85
Experimental results demonstrate the excellent robustness of the proposed watermarking scheme to local geometric distortion, global geometric distortions, common image processing operations, and some kinds of combined attacks.
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- A survey of energy-saving technologies in cloud data centers53
A new optimization scheme of energy consumption for the jointing computing system and cooling system is explained, and various energy-saving strategies and technologies have been described and compared.
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- MuST: Robust Image Watermarking for Multi-Source Tracing38
MuST, a multi-source tracing robust watermarking scheme, whose architecture includes a multi-source image detector and minimum external rectangle operation for multiple watermark resynchronization and extraction, is proposed.
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- A robust image watermarking scheme in DCT domain based on adaptive texture direction quantization24
A novel robust image watermarking scheme in Discrete Cosine Transform (DCT) domain for active forensics that utilizes the direction features of texture blocks better and the robustness of watermark signal against image processing attacks is achieved.
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- TAG-WM: Tamper-Aware Generative Image Watermarking via Diffusion Inversion Sensitivity15
The experimental results demonstrate that TAG-WM achieves state-of-the-art performance in both tampering robustness and localization capability even under distortion, while preserving lossless generation quality and maintaining a watermark capacity of 256 bits.
- A Geometric Distortion Immunized Deep Watermarking Framework with Robustness Generalizability15
A Swin Transformer and Deformable Convolu-tional Network (DCN)-based watermark model backbone that effectively improves the feature processing flexibility, greatly enhancing the robustness, especially for geometric distortions.
- JamSys: Coverage Optimization of a Microphone Jamming System Based on Ultrasounds14
A jamming system, JamSys, is presented to prevent eavesdropping in a given region and a new scheme composed of the angle coverage model and the modified harmony search algorithm (MHSA) to optimize the deployment of ultrasonic arrays, which achieves the maximum jamming area with the given number of arrays.
- CamLopa: A Hidden Wireless Camera Localization Framework via Signal Propagation Path Analysis9
CamLopa is introduced, a training-free wireless camera localization framework that operates with minimal activity space constraints using low-cost, commercial-off-the-shelf (COTS) devices and without the need for training.
- RoPaSS: Robust Watermarking for Partial Screen-Shooting Scenarios9
The RoPaSS is proposed: a robust watermarking scheme for partial screen-shooting scenarios, which effectively constructs symmetric characteristics on the embedding watermark to handle the sticky re-synchronization issue.
- DERO: Diffusion-Model-Erasure Robust Watermarking9
A destruction and compensation noise layer (DCNL) is designed to approximate the distortion effects caused by latent diffusion model erasure (LDE), which is significantly improved from 75% with SOTA methods to an impressive 96% with DERO.
- AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents8
AutoStegaFont is proposed, an automatic vector font synthesis scheme for hiding information in documents that has better generalizability to fonts with diverse styles and languages and robustness to distortions caused by low-resolution screenshots, printing, and photography.
- ProTegO: Protect Text Content against OCR Extraction Attack7
Experimental results demonstrate that ProTegO is a one-size-fits-all method that can ensure good visual quality while simultaneously achieving a high protection success rate on text recognition models with different architectures, outperforming the state-of-the-art methods.
- OAcode: Overall Aesthetic 2D Barcode on Screen7
This paper proposes the first first-ever aesthetic 2D barcode scheme, called OAcode, in which the position detection pattern is canceled, and its detection process is based on the pre-designed symmetrical data area of OAcode, whose symmetry could be used as the calibration signal to restore the perspective transformation in the barcode scanning process.
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- Hidden WiFi Camera Localization via Signal Propagation Path Analysis6
CamLoPA is introduced, a system designed for the detection and localization of WiFi cameras that can accurately and swiftly detect and localize snooping WiFi cameras with minimal constraints.
- AnisoTag: 3D Printed Tag on 2D Surface via Reflection Anisotropy6
AnisoTag, a novel tagging method to encode data on the 2D surface of 3D printed objects based on reflection anisotropy, has an unobtrusive appearance and much lower extraction computational complexity, contributing to a lightweight low-cost tagging system for individual entrepreneurs.
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- FreeText: Training-Free Text Rendering in Diffusion Transformers via Attention Localization and Spectral Glyph Injection4
FreeText is proposed, a training-free, plug-and-play framework that improves text rendering by exploiting intrinsic mechanisms of DiT models and introduces Spectral-Modulated Glyph Injection (SGMI), which injects a noise-aligned glyph prior with frequency-domain band-pass modulation to strengthen glyph structure and suppress semantic leakage.
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- SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models1
SKeDA is a generative watermarking framework tailored for text-to-video diffusion models that transforms watermark extraction from synchronization-sensitive sequence decoding into permutation-tolerant set-level aggregation, substantially improving robustness against frame reordering and loss.
- ERGO: Excess-Risk-Guided Optimization for High-Fidelity Monocular 3D Gaussian Splatting1
An adaptive optimization framework guided by excess risk decomposition, termed ERGO, which demonstrates robustness against supervision noise while consistently enhancing both geometric fidelity and textural quality of the reconstructed 3D content.
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- SPSW: Database Watermarking Based on Fake Tuples and Sparse Priority Strategy1
A novel database watermarking scheme based on fake tuples and sparse priority strategy, named SPSW, which achieves the same watermark capacity with a lower number of inserted fake tuples compared to the existing embedding strategy.
- Go Wide or Go Deep: Levering Watermarking Performance with Computational Cost for Specific Images1
The robustness-invisibility trade-off is broken by introducing computation cost in, and a novel auto-decoder-like image-specified watermarking framework (ISMark) is proposed, based on which the strong robustness and high visual quality for specific images can be both achieved.
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- Design of speed control system for intelligent sorting conveyor belt of coal gangue1
The system has strong universality, easy maintenance, and stable speed control, which is conducive to improving the reliability and efficiency of the intelligent sorting system for coal gangue and reduceing transmission mechanism wear caused by dithering.
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- AnyCrowd: Instance-Isolated Identity-Pose Binding for Arbitrary Multi-Character Animation–
AnyCrowd is proposed, a Diffusion Transformer (DiT)-based video generation framework capable of scaling to an arbitrary number of characters and an Instance-Isolated Latent Representation is introduced, which encodes character instances independently prior to DiT processing to prevent latent identity entanglement.
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- AuthSig: Safeguarding Scanned Signatures Against Unauthorized Reuse in Paperless Workflows–
AuthSig is proposed, a novel static electronic signature framework based on generative models and watermark, which binds authentication information to the signature image and finely modulates style embeddings during generation to implicitly encode watermark bits-enforcing a One Signature, One Use policy.
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- A statistical characteristics preserving watermarking scheme for time series databases–
A robust watermarking algorithm for time series databases, based on the time-group characteristics of TSDBs, which achieves superior robustness and preserves constant statistical properties better is proposed.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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