WatCOM: Unconscious Watermarking for Semantic Communication Intellectual Property Protection

Semantic Communication (SC) enhances communication efficacy by abstracting and decoding semantic information via shared knowledge instead of bitstream, while considerably reducing redundancy and reinforcing efficiency in downstream tasks including image recognition, language processing, internet of things, etc. Due to the extensive data collection, processing, and training, the SC shared knowledge is invaluable Intellectual Property (IP), and despite the owners' desire to prevent misuse, the knowledge still remains vulnerable to theft while related IP protection has yet to be explored. To bridge this gap, we propose WatCom, the first SC IP protection methodology via watermarking. Specifically, we implant a stealthy backdoor into the semantic shared knowledge to verify model ownership, which can solely be activated by the owner-exclusive implicit trigger to validate ownership. The backdoor is implanted by poisoning-training strategy, facilitating SC system to respond normally to regular inputs while producing verification outputs (i.e., backdoor activation) for trigger-infected samples. To ensure imperceptibility, we leverage one generator to synthesize infected data that is nearly indistinguishable from regular data, which thereby obfuscates the verification information presence and enhances security against adversarial detection. Experiments based on multiple datasets and systems demonstrate WatCom can effectively verify system ownership (IP Verification Rate <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\sim 100 \%$</tex>) while maintaining transmission efficacy (Peak Signal-to-Noise Ratio drop <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$&lt; 2 ~\text{dB}$</tex>).

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/icc52391.2025.11160994
Citations
1
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
1.28
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article

WatCOM: Unconscious Watermarking for Semantic Communication Intellectual Property Protection

Xiao Yang, Yuanhang He, Jianhua Li, Gaolei Li
1 citations
Advanced Steganography and Watermarking Techniques
1.28
article

WatCOM: Unconscious Watermarking for Semantic Communication Intellectual Property Protection

Xiao Yang, Yuanhang He, Jianhua Li, Gaolei Li
article en
1 citations

Abstract

Semantic Communication (SC) enhances communication efficacy by abstracting and decoding semantic information via shared knowledge instead of bitstream, while considerably reducing redundancy and reinforcing efficiency in downstream tasks including image recognition, language processing, internet of things, etc. Due to the extensive data collection, processing, and training, the SC shared knowledge is invaluable Intellectual Property (IP), and despite the owners' desire to prevent misuse, the knowledge still remains vulnerable to theft while related IP protection has yet to be explored. To bridge this gap, we propose WatCom, the first SC IP protection methodology via watermarking. Specifically, we implant a stealthy backdoor into the semantic shared knowledge to verify model ownership, which can solely be activated by the owner-exclusive implicit trigger to validate ownership. The backdoor is implanted by poisoning-training strategy, facilitating SC system to respond normally to regular inputs while producing verification outputs (i.e., backdoor activation) for trigger-infected samples. To ensure imperceptibility, we leverage one generator to synthesize infected data that is nearly indistinguishable from regular data, which thereby obfuscates the verification information presence and enhances security against adversarial detection. Experiments based on multiple datasets and systems demonstrate WatCom can effectively verify system ownership (IP Verification Rate <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\sim 100 \%$</tex>) while maintaining transmission efficacy (Peak Signal-to-Noise Ratio drop <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$&lt; 2 ~\text{dB}$</tex>).

Shanghai Jiao Tong University (CN), China Electronics Technology Group Corporation (CN)
Openalex Percentile: Top 15%
Advanced Steganography and Watermarking Techniques
1.28
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WatCOM: Unconscious Watermarking for Semantic Communication Intellectual Property Protection — Xiao Yang, Yuanhang He, et al. · (2025) | TGRS Research Map | TGRS