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Privacy and Confidentiality in Process Mining - Threats and Research Challenges., , , , , , , and . CoRR, (2021)Towards Standardized Mobility Reports with User-Level Privacy., , , and . CoRR, (2022)Towards Explaining Epsilon: A Worst-Case Study of Differential Privacy Risks., , and . EuroS&P Workshops, page 328-331. IEEE, (2021)Privacy and Confidentiality in Process Mining: Threats and Research Challenges., , , , , , , and . ACM Trans. Manag. Inf. Syst., 13 (1): 11:1-11:17 (2022)Quantifying the Re-identification Risk of Event Logs for Process Mining., , , , , , , and . CoRR, (2020)Self-Determined Reciprocal Recommender Systemwith Strong Privacy Guarantees., , and . ARES, page 31:1-31:6. ACM, (2021)Towards mobility reports with user-level privacy., , , and . J. Locat. Based Serv., 17 (2): 95-121 (January 2023)Quantifying the Re-identification Risk of Event Logs for Process Mining - Empiricial Evaluation Paper., , , , , , , and . CAiSE, volume 12127 of Lecture Notes in Computer Science, page 252-267. Springer, (2020)RRTxFM: Probabilistic Counting for Differentially Private Statistics., and . I3E Workshops, volume 573 of IFIP Advances in Information and Communication Technology, page 86-98. Springer, (2019)Am I Private and If So, how Many?: Communicating Privacy Guarantees of Differential Privacy with Risk Communication Formats., , , , and . CCS, page 1125-1139. ACM, (2022)