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Refinement Orders for Quantitative Information Flow and Differential Privacy.

, , and . J. Cybersecur. Priv., 1 (1): 40-77 (December 2020)

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Universal Optimality and Robust Utility Bounds for Metric Differential Privacy., , , and . CSF, page 348-363. IEEE, (2022)A Quantitative Information Flow Analysis of the Topics API., , , and . WPES@CCS, page 123-127. ACM, (2023)Refinement Orders for Quantitative Information Flow and Differential Privacy., , and . J. Cybersecur. Priv., 1 (1): 40-77 (December 2020)The Privacy-Utility Trade-off in the Topics API., , , and . CoRR, (2024)Directional Privacy for Deep Learning., , , and . CoRR, (2022)Generalised Differential Privacy for Text Document Processing., , and . CoRR, (2018)Generalised Differential Privacy for Text Document Processing., , and . POST, volume 11426 of Lecture Notes in Computer Science, page 123-148. Springer, (2019)Comparing Systems: Max-Case Refinement Orders and Application to Differential Privacy., , and . CSF, page 442-457. IEEE, (2019)A Novel Analysis of Utility in Privacy Pipelines, Using Kronecker Products and Quantitative Information Flow., , , , and . CCS, page 1718-1731. ACM, (2023)Locality Sensitive Hashing with Extended Differential Privacy., , and . ESORICS (2), volume 12973 of Lecture Notes in Computer Science, page 563-583. Springer, (2021)