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Web applications are governed by privacy policies, but developers lack practical abstractions to ensure that their code actually abides by these policies. This leads to frequent oversights, bugs, and costly privacy violations. Sesame is a practical framework for end-to-end privacy policy enforcement. Sesame wraps data in policy containers that associate data with policies that govern its use. Policy containers force developers to use privacy regions when operating on the data, and Sesame combines sandboxing and a novel static analysis to prevent privacy regions from leaking data. Sesame enforces a policy check before externalizing data, and it supports custom I/O via reviewed, signed code. Experience with four web applications shows that Sesame’s automated guarantees cover 95% of application code, with the remaining 5% needing manual review. Sesame achieves this with reasonable application developer effort and imposes 3–10% performance overhead (10–55% with sandboxes).more » « lessFree, publicly-accessible full text available November 4, 2025
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Dak_Albab, Kinan; Sharma, Ishan; Adam, Justus; Kilimnik, Benjamin; Jeyaraj, Aaron; Paul, Raj; Agvanian, Artem; Spiegelberg, Leonhard; Schwarzkopf, Malte (, Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation (OSDI))Data privacy laws like the EU’s GDPR grant users new rights, such as the right to request access to and deletion of their data. Manual compliance with these requests is error-prone and imposes costly burdens especially on smaller organizations, as non-compliance risks steep fines. K9db is a new, MySQL-compatible database that complies with privacy laws by construction. The key idea is to make the data ownership and sharing semantics explicit in the storage system. This requires K9db to capture and enforce applications’ complex data ownership and sharing semantics, but in exchange simplifies privacy compliance. Using a small set of schema annotations, K9db infers storage organization, generates procedures for data retrieval and deletion, and reports compliance errors if an application risks violating the GDPR. Our K9db prototype successfully expresses the data sharing semantics of real web applications, and guides developers to getting privacy compliance right. K9db also matches or exceeds the performance of existing storage systems, at the cost of a modest increase in state size.more » « less
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