# StegExpose - A Tool for Detecting LSB Steganography

arXiv: https://arxiv.org/abs/1410.6656 · HTML: https://mlsanity.com/paper/1410.6656/

## Key facts

- Cited by 25 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Oct 2014.

## Built on by (most cited first, 25 of 25)

- [EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection](https://mlsanity.com/paper/2312.08883/) (2023)
- [CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography](https://mlsanity.com/paper/2305.16936/) (2023)
- [V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protection](https://mlsanity.com/paper/2404.16824/) (2024)
- [GS-Hider: Hiding Messages into 3D Gaussian Splatting](https://mlsanity.com/paper/2405.15118/) (2024)
- [Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography](https://mlsanity.com/paper/2107.09287/) (2021)
- [Large-capacity and Flexible Video Steganography via Invertible Neural Network](https://mlsanity.com/paper/2304.12300/) (2023)
- [Learning to Immunize Images for Tamper Localization and Self-Recovery](https://mlsanity.com/paper/2210.15902/) (2022)
- [GuardSplat: Efficient and Robust Watermarking for 3D Gaussian Splatting](https://mlsanity.com/paper/2411.19895/) (2024)
- [All That Glitters Is Not Gold: Key-Secured 3D Secrets within 3D Gaussian Splatting](https://mlsanity.com/paper/2503.07191/) (2025)
- [Purified and Unified Steganographic Network](https://mlsanity.com/paper/2402.17210/) (2024)
- [A Brief Survey on Deep Learning Based Data Hiding](https://mlsanity.com/paper/2103.01607/) (2021)
- [Hiding Images in Deep Probabilistic Models](https://mlsanity.com/paper/2210.02257/) (2022)
- [Learning Iterative Neural Optimizers for Image Steganography](https://mlsanity.com/paper/2303.16206/) (2023)
- [GaussianSeal: Rooting Adaptive Watermarks for 3D Gaussian Generation Model](https://mlsanity.com/paper/2503.00531/) (2025)
- [Protect-Your-IP: Scalable Source-Tracing and Attribution against Personalized Generation](https://mlsanity.com/paper/2405.16596/) (2024)
- [Multitask Identity-Aware Image Steganography via Minimax Optimization](https://mlsanity.com/paper/2107.05819/) (2021)
- [Securing Fixed Neural Network Steganography](https://mlsanity.com/paper/2309.09700/) (2023)
- [Cover-separable Fixed Neural Network Steganography via Deep Generative Models](https://mlsanity.com/paper/2407.11405/) (2024)
- [Image Data Hiding in Neural Compressed Latent Representations](https://mlsanity.com/paper/2310.00568/) (2023)
- [CausalVE: Face Video Privacy Encryption via Causal Video Prediction](https://mlsanity.com/paper/2409.19306/) (2024)
- [StegaINR4MIH: steganography by implicit neural representation for multi-image hiding](https://mlsanity.com/paper/2410.10117/) (2024)
- [S2LM: Towards Semantic Steganography via Large Language Models](https://mlsanity.com/paper/2511.05319/) (2025)
- [IBRSteG: Learning a Generalizable Steganography Framework for 3D Gaussian Splatting](https://mlsanity.com/paper/2606.30024/) (2026)
- [No Prompt, No Leaks: A Robust Generative Steganography Framework via Prompt-Free Diffusion](https://mlsanity.com/paper/2606.31427/) (2026)
- [StegGNN: Learning Graphical Representation for Image Steganography](https://mlsanity.com/paper/2609.32362/) (2026)

## Abstract (arXiv)

Steganalysis tools play an important part in saving time and providing new angles of attack for forensic analysts. StegExpose is a solution designed for use in the real world, and is able to analyse images for LSB steganography in bulk using proven attacks in a time efficient manner. When steganalytic methods are combined intelligently, they are able generate even more accurate results. This is the prime focus of StegExpose.