Mask: A System for Privacy-Preserving Policy-Based Access to Published Content
Summary: Mask enables privacy-preserving, policy-based access to published content, with a publisher that does not learn subscriber attributes. Content is partitioned into per-policy subdocuments, each encrypted under its own key; a group-key protocol lets subscribers derive authorized keys without revealing to the publisher which keys they reconstruct. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mohamed Nabeel
- 2. Ning Shang
- 3. John Zage
- 4. Elisa Bertino
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