Interactive Anonymization of Sensitive Data
Summary: Demonstrates CAT, the Cornell Anonymization Toolkit, an interactive, progressive workflow to publish data with privacy guarantees. Fuses state-of-the-art anonymization with an intuitive interface, enabling exploration of settings and attacker models to balance privacy and utility. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Xiaokui Xiao
- 2. Guozhang Wang
- 3. Johannes Gehrke
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 458 | Incognito: Efficient Full-Domain K-Anonymity | 2005 | SIGMOD | 0.00022698513 |
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