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20212026
most citedGenerative Steganography Network

67 citations · 142 across the 35 of their papers we have counts for

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8 papers · 1 filter

cs.CR2026

What Survives Self-Evolution: Provenance Marks in Copied Agent Harnesses

Jieyu Li, Jingya Li, Sheng Li +2

Agent harnesses, the prompt and tool code around a base model, leak. Claude Code's 512,000 lines were mirrored within hours of a packaging error. A plagiarist can pass a leaked har…

cs.CR2025

SyncGuard: Robust Audio Watermarking Capable of Countering Desynchronization Attacks

Zhenliang Gan, Xiaoxiao Hu, Sheng Li +2

Audio watermarking has been widely applied in copyright protection and source tracing. However, due to the inherent characteristics of audio signals, watermark localization and res…

cs.CR2025

CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models

Zhenzhen Ren, GuoBiao Li, Sheng Li +2

Despite providing superior performance, open-source large language models (LLMs) are vulnerable to abusive usage. To address this issue, recent works propose LLM fingerprinting met…

cs.CR2024

Cover-separable Fixed Neural Network Steganography via Deep Generative Models

Guobiao Li, Sheng Li, Zhenxing Qian +1

Image steganography is the process of hiding secret data in a cover image by subtle perturbation. Recent studies show that it is feasible to use a fixed neural network for data emb…

cs.CR2024

Purified and Unified Steganographic Network

Guobiao Li, Sheng Li, Zicong Luo +2

Steganography is the art of hiding secret data into the cover media for covert communication. In recent years, more and more deep neural network (DNN)-based steganographic schemes…

cs.CR2023★ 18 cited

Securing Fixed Neural Network Steganography

Zicong Luo, Sheng Li, Guobiao Li +2

Image steganography is the art of concealing secret information in images in a way that is imperceptible to unauthorized parties. Recent advances show that is possible to use a fix…

cs.CR2023★ 2 cited

Towards Deep Network Steganography: From Networks to Networks

Guobiao Li, Sheng Li, Meiling Li +2

With the widespread applications of the deep neural network (DNN), how to covertly transmit the DNN models in public channels brings us the attention, especially for those trained…

cs.CR2023

Steganography of Steganographic Networks

Guobiao Li, Sheng Li, Meiling Li +2

Steganography is a technique for covert communication between two parties. With the rapid development of deep neural networks (DNN), more and more steganographic networks are propo…