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DPMF: A Modeling Framework for Data Protection by Design.

, , , , , and . Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., (2020)

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Mitigation lost in translation: leveraging threat information to improve privacy solution selection., , , , , and . SAC, page 1236-1247. ACM, (2022)Towards a Roadmap for Privacy Technologies and the General Data Protection Regulation: A Transatlantic Initiative., , , , , , , , , and 3 other author(s). APF, volume 11079 of Lecture Notes in Computer Science, page 24-42. Springer, (2018)A comparison of system description models for data protection by design., , , , , , and . SAC, page 1512-1515. ACM, (2019)Privacy Engineering From Principles to Practice: A Roadmap., , , , , , , , , and 1 other author(s). CoRR, (2024)Integrating Patient Consent in e-Health Access Control., , , and . Int. J. Secur. Softw. Eng., 2 (2): 1-24 (2011)A privacy threat analysis framework: supporting the elicitation and fulfillment of privacy requirements., , , , and . Requir. Eng., 16 (1): 3-32 (2011)Empirical evaluation of a privacy-focused threat modeling methodology., , and . J. Syst. Softw., (2014)From Privacy Policies to Privacy Threats: A Case Study in Policy-Based Threat Modeling., , , , , and . WPES@CCS, page 17-29. ACM, (2023)A Data Utility-Driven Benchmark for De-identification Methods., , , , and . TrustBus, volume 11711 of Lecture Notes in Computer Science, page 63-77. Springer, (2019)Knowledge is Power: Systematic Reuse of Privacy Knowledge for Threat Elicitation., , , and . IEEE Symposium on Security and Privacy Workshops, page 80-83. IEEE, (2019)