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...

Stego-Lab

Stego-Lab Steganography. EXIF. Watermarks. Decode. Batch. Professional image privacy workflows for iPhone, iPad, and macOS. Website · GitLab · Project Page · Privacy Policy · Press Kit · Support · License Why Stego-Lab Stego-Lab brings together workflows that are usually scattered across multiple...

CC_Watermark

Optimal Couplings for Distortion-Free Text Watermarking The official code of Optimal Couplings for Distortion-Free Text Watermarking Abstract Large-language models LLMs are now able to produce text that is indistinguishable from human-generated content. This has fueled the development of watermar...

covertchannels-steganography

Many people ask me how to start in the field of steganography/covert channels or how to improve their skills. I wrote this recopilation to help them with some good references, tools and books that I used and read I will add more soon. Books & Papers/Articles Information Hiding Techniques for...

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...

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...

Watermark_Spoofing

THE IMPACT OF AUDIO WATERMARKING ON AUDIO ANTI-SPOOFING COUNTERMEASURES This repository provides the official implementation for our paper: THE IMPACT OF AUDIO WATERMARKING ON AUDIO ANTI-SPOOFING COUNTERMEASURES . Explore the interactive demo and visualizations here. What’s inside 1...

nullorigin

NullOrigin 🛡️ Universal AI Provenance & Watermark Sanitization Middleware Research artifact — for watermarking robustness evaluation only. 🔬 Research use only NullOrigin is a research artifact. It is published to support academic and independent study of watermarking robustness, and for no other...

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|...

A Unified Attack Framework against Statistical Generative Watermarks for Large Language Models

Watermarking has emerged as a key tool for identifying text generated by large language models LLMs, with current schemes embedding statistical signals into the generation process to enable later detection. In this work, we identify a shared weakness across a broad class of popular LLM watermarki...

openstego

OpenStego OpenStego es una aplicación de esteganografía que proporciona dos funcionalidades: 1. Ocultación de datos: Puede ocultar cualquier dato dentro de un archivo de imagen. 2. Marcado de agua: Marcar archivos de imagen con una firma invisible. Se puede usar para detectar copias no autorizada...

Confidential Error-Correcting Codes

We introduce Confidential Error-correcting Codes CECs, a new cryptographic primitive that enables reliable decoding from perturbed codewords while preserving message confidentiality. We formalize this primitive through three security properties: confidentiality, robustness, and soundness. To...

Could LLM Watermark Detection Be Public?

Watermarking large language models is popular for tracing chatbot and agentic outputs, yet detectors remain unreleased since exposing them could let attackers do targeted edits with the detector's feedback. However, watermarks are already vulnerable to uninformed tampering attacks. We thus first...

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...