How effective is digital watermarking with compressed sensing in protecting intellectual property in the digital era?
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Digital watermarking plays a crucial role in safeguarding intellectual property (IP) rights in the digital era. Combining digital watermarking with compressed sensing enhances the protection of copyrighted data by embedding secret information within compressively sensed coefficients. This integration allows for efficient reconstruction of the original content even in the presence of lossy channels, ensuring the recovery of embedded information with acceptable accuracy. While digital watermarking faces challenges in terms of capacity and robustness, especially in text watermarking, the proposed methodologies like DeepSigns demonstrate effectiveness in protecting deep learning models against IP infringement. Overall, the fusion of digital watermarking and compressed sensing presents a promising approach to fortify IP protection in the digital landscape.
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| Papers (4) | Insight |
|---|---|
| Digital watermarking with compressed sensing is effective in protecting intellectual property by embedding secret information into compressively sensed coefficients, enabling reconstruction and recovery even in lossy channels. | |
Open access•Posted Content | Digital watermarking with compressed sensing, as proposed in DeepSigns, effectively protects intellectual property in deep learning models by embedding watermarks in data abstractions, resisting various attacks. |
| Digital watermarking with compressed sensing is effective in protecting intellectual property by embedding information in digital signals, ensuring copyright protection and making it difficult to remove. | |
| Digital watermarking with fine-grain text protection is highly effective in safeguarding intellectual property by embedding watermarks in text, ensuring robustness against common attacks and copy-paste actions. |
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