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Worst-Case Background Knowledge for Privacy-Preserving Data Publishing.

, , , , and . ICDE, page 126-135. IEEE Computer Society, (2007)

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Exploring Privacy-Accuracy Tradeoffs using DPComp., , , , , and . SIGMOD Conference, page 2101-2104. ACM, (2016)Principled Evaluation of Differentially Private Algorithms using DPBench., , , , and . SIGMOD Conference, page 139-154. ACM, (2016)What You Mark is What Apps See., , , , , and . MobiSys, page 249-261. ACM, (2016)Pythia: Data Dependent Differentially Private Algorithm Selection., , , and . SIGMOD Conference, page 1323-1337. ACM, (2017)A rigorous and customizable framework for privacy., and . PODS, page 77-88. ACM, (2012)Design of Policy-Aware Differentially Private Algorithms., , and . Proc. VLDB Endow., 9 (4): 264-275 (2015)Blowfish privacy: tuning privacy-utility trade-offs using policies., , and . SIGMOD Conference, page 1447-1458. ACM, (2014)PeGaSus: Data-Adaptive Differentially Private Stream Processing., , , and . CCS, page 1375-1388. ACM, (2017)Private Proof-of-Stake Blockchains using Differentially-Private Stake Distortion., , , and . USENIX Security Symposium, page 1577-1594. USENIX Association, (2023)Practical Security and Privacy for Database Systems., , , , , and . SIGMOD Conference, page 2839-2845. ACM, (2021)