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cloud.google.com·6h ago
Data Science
Towards Data Science·Sep 6·5 min read
Text Watermarking in Python: Catch Whoever Copies Your Writing
TL;DR
Text watermarking techniques can be applied to your writing using Python, enabling you to track unauthorized copying. Experiments show which watermarks endure various forms of text manipulation.
✦ Why It Matters
Implement text watermarking in your writing today to protect against unauthorized copying.
Key Takeaways
- Use invisible characters for basic watermarking needs.
- Employ keyed word choices for better durability against edits.
- Consider meaning-level marks for high-stakes content protection.
- Test your watermarking method against potential editing attacks.
How It Works
Watermarking techniques involve embedding hidden signals within text. Invisible characters utilize zero-width Unicode characters to create a binary channel, while keyed word choices replace synonyms based on a secret key, making the watermark part of the text itself.
Meaning-level marks involve inserting uncommon words that maintain the document's meaning, making them harder to remove during paraphrasing.