covertchannels-steganography

很多人问我如何入门隐写术/隐蔽信道领域，或如何提升相关技能。我编写这份合集，提供一些我使用和阅读过的优秀参考资料、工具和书籍（后续我会补充更多）。 书籍与论文/文章 信息隐藏技术：隐写术与数字水印 -...

openstego

OpenStego OpenStego is a steganography application that provides two functionalities: 1. Data Hiding: It can hide any data within an image file. 2. Watermarking: Watermarking image files with an invisible signature. It can be used to detect unauthorized file copying. Usage For GUI: Use menu...

openstego

OpenStego OpenStego は、以下の2つの機能を提供するステガノグラフィーアプリケーションです。 1. データ隠蔽: 画像ファイル内にあらゆるデータを隠蔽できます。 2. 透かし: 不可視の署名で画像ファイルに透かしを入れます。不正なファイルコピーを検出するために使用できます。 使用方法 GUIの場合: インストーラーを使用した場合は、OpenStego のメニューショートカットを使用してください。zip ダウンロードの場合は、バンドルされているバッチファイルまたはシェルスクリプトを使用して GUI を起動します。 openstego.bat Windows...

Watermark_Spoofing

音频水印对音频反欺骗对策的影响 本仓库提供了我们论文的官方实现：音频水印对音频反欺骗对策的影响 。 在此处探索交互式演示和可视化内容：https://alphawarheads.github.io/Watermarkspoofingdemo/。 仓库内容 1. 水印欺骗数据集（WSD） — 用于生成我们带水印的评估集和训练集的脚本与标签文件。 2. 知识保留水印学习（KPWL） — 用于复现 KPWL 框架和实验的脚本。 水印欺骗数据集（WSD） 我们从公共语料库中衍生出 WSD，并对照原始数据集对其进行基准测试： ASVspoof 2019（LA） —...

craw

CRAW: Codec Robust Audio Watermarking Source code for CRAW , a robust audio watermarking method built on STFT-magnitude-domain embedding. An encoder embeds a binary message into an audio clip's magnitude spectrogram phase is preserved from the clean signal; a decoder recovers the message under a...

SEW

SEW: Style-Encoded Watermarking of LLM-Generated Code Paper Link 📖 📰 News 📢 NEW! The SEW paper is available on arXiv: arXiv:2609.39414. Sep 30, 2026 📢 The official SEW code has been released on GitHub. Sep 30, 2026 🔍 Motivation Feature| Token-level watermarks KGW, SWEET, Unigram, STONE, STA-1|...

Stego-Lab

Stego-Lab ステガノグラフィ。EXIF。透かし。デコード。バッチ処理。 iPhone、iPad、macOS向けのプロフェッショナルな画像プライバシーワークフロー。 ウェブサイト · GitLab · プロジェクトページ · プライバシーポリシー · プレスキット · サポート · ライセンス なぜStego-Labなのか Stego-Labは、通常複数のアプリに散在するワークフローを1つにまとめます：不可視のステガノグラフィ、可視の透かし、EXIF編集、デコード、バッチ処理。...

SwordStamp

SwordStamp SwordStamp adds order-robust detection and semantic-span units to embedding-based semantic watermarks. This artifact contains the exact paper configuration, generation and detection code, the unchanged attack suite, quality evaluation, and deterministic result extraction and plotting...

nullorigin

NullOrigin 🛡️ 通用 AI 溯源与水印净化中间件 研究产物——仅用于水印鲁棒性评估。 🔬 仅限研究使用 NullOrigin 是一个研究产物。其发布旨在支持关于水印鲁棒性的学术与独立研究，不用于任何其他目的。 水印方案是一种安全声明，而安全声明只有在有人尝试破解它时才有意义。本项目实现的相关文献——Kirchenbauer 等人关于 KGW 的研究、Krishna 等人关于释义攻击的研究、Boucher 和 Anderson 关于 Trojan Source...

CC_Watermark

用于无失真文本水印的最优耦合 用于无失真文本水印的最优耦合 的官方代码 摘要 大型语言模型（LLM）现在能够生成与人类内容无法区分的文本。 这推动了水印技术的发展，水印通过在 LLM 生成的文本中印记"信号"，同时对 LLM 输出的扰动最小。 本文对一次性（one-shot）场景下的文本水印进行了分析。 通过带辅助信息的假设检验视角，我们系统地阐述并分析了水印检测能力与生成文本质量失真之间的基本权衡。 我们认为水印设计的一个关键组成部分是在与水印检测器共享的辅助信息与 LLM 词汇表的随机划分之间生成一种耦合。 我们的分析确定了在满足最小熵约束的最坏情况 LLM...

Invisible Ink, Visible Lies: How Production Watermarking Causes LLMs to Hallucinate

Text watermarking helps identify AI-generated content, but its effect on factual reliability remains underexplored. In this paper, we study watermarking hallucination: factual errors induced or amplified by watermarking even when the required evidence is present in the context and the unwatermark...

DeMark: A Query-Free Black-Box Attack for Quality-Preserving Audio Watermark Removal

Audio watermarking protects digital speech by embedding imperceptible signals for ownership verification and misuse tracing. However, the security of learning-based watermarking remains insufficiently understood under realistic adversarial removal, where attackers cannot access or query the...

FeatMark: Feature-Level Watermark Protection against Mimicry Attacks with Diffusion Models

Text-to-image diffusion models enable data-efficient "mimicry" attacks, wherein adversaries fine-tune the model on a handful of public photos to synthesize convincing forgeries of a target individual. A common countermeasure is to embed imperceptible, low-energy watermarks, yet recent studies sho...

WeaveMark

WeaveMark Implementación de referencia de Robust and Scalable Multi-bit LLM Watermarking via Coded Payload Spreading. WeaveMark incrusta un mensaje de k bits en texto generado por LLM manteniendo la distribución de tokens imparcial. Combina la dispersión de carga codificada κ bits de palabra de...

From Noise to Meaning: Meaningful Secret Sharing with Tamper Detection for Facial Recognition

Popularity of AI-based face recognition system directly demands protection of sensitive biometric data used for training. Visual secret sharing is an interesting idea, as it splits facial images into secret shares that look random and spread across many institutions. However, these shares look li...

DHMark: Public-Key Watermarking for LLM-Generated Text Via Diffie-Hellman-Guided Rejection Sampling

Large language model LLM watermarking provides an important mechanism for tracing the provenance of generated text. Existing statistical watermarks are often effective and robust, but most of them rely on private detection keys, which centralizes verification and complicates public auditing. Rece...

Cryptanalysis of Pseudorandom Error-Correcting Codes

Pseudorandom error-correcting codes PRC is a novel cryptographic primitive proposed at CRYPTO 2024. Due to the dual capability of pseudorandomness and error correction, PRC has been recognized as a promising foundational component for watermarking AI-generated content. However, the security of PR...

Security and Detectability Analysis of Unicode Text Watermarking Methods against Large Language Models

Securing digital text is becoming increasingly relevant due to the widespread use of large language models. Individuals' fear of losing control over data when it is being used to train such machine learning models or when distinguishing model-generated output from text written by humans. Digital...

DITTO: A Spoofing Attack Framework on Watermarked LLMs Via Knowledge Distillation

The promise of LLM watermarking rests on a core assumption that a specific watermark proves authorship by a specific model. We demonstrate that this assumption is dangerously flawed. We introduce the threat of watermark spoofing, a sophisticated attack that allows a malicious model to generate te...

The Impact of Audio Watermarking on Audio Anti-Spoofing Countermeasures

This paper presents the first study on the impact of audio watermarking on spoofing countermeasures. While anti-spoofing systems are essential for securing speech-based applications, the influence of widely used audio watermarking, originally designed for copyright protection, remains largely...