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20212026
most citedTowards Next-Generation Steganalysis: LLMs Unleash the Power of Detecting Steganography

5 citations · 13 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

FRACTAL: SSM with Fractional Recurrent Architecture for Computational Temporal Analysis of Long Sequences

Mengqi Li, Wensheng Lin, Jinshuai Yang +1

Effective sequence modeling fundamentally requires balancing the retention of unbounded history with the high-resolution detection of abrupt short-term variations common in real-wo…

cs.CR2025

Shifting-Merging: Secure, High-Capacity and Efficient Steganography via Large Language Models

Minhao Bai, Jinshuai Yang, Kaiyi Pang +2

In the face of escalating surveillance and censorship within the cyberspace, the sanctity of personal privacy has come under siege, necessitating the development of steganography,…

cs.CR2024★ 1 cited

Semantic Steganography: A Framework for Robust and High-Capacity Information Hiding using Large Language Models

Minhao Bai, Jinshuai Yang, Kaiyi Pang +2

In the era of Large Language Models (LLMs), generative linguistic steganography has become a prevalent technique for hiding information within model-generated texts. However, tradi…

cs.CR2024

Provably Robust and Secure Steganography in Asymmetric Resource Scenario

Minhao Bai, Jinshuai Yang, Kaiyi Pang +3

To circumvent the unbridled and ever-encroaching surveillance and censorship in cyberspace, steganography has garnered attention for its ability to hide private information in inno…

cs.CR2024★ 5 cited

Towards Next-Generation Steganalysis: LLMs Unleash the Power of Detecting Steganography

Minhao Bai. Jinshuai Yang, Kaiyi Pang, Huili Wang +1

Linguistic steganography provides convenient implementation to hide messages, particularly with the emergence of AI generation technology. The potential abuse of this technology ra…

cs.CL2022★ 4 cited

AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling

Haoqin Tu, Zhongliang Yang, Jinshuai Yang +1

Variational Auto-Encoder (VAE) has become the de-facto learning paradigm in achieving representation learning and generation for natural language at the same time. Nevertheless, ex…

cs.CV2021★ 3 cited

Pixel-Stega: Generative Image Steganography Based on Autoregressive Models

Siyu Zhang, Zhongliang Yang, Haoqin Tu +2

In this letter, we explored generative image steganography based on autoregressive models. We proposed Pixel-Stega, which implements pixel-level information hiding with autoregress…