Libra: High-Utility Anonymization of Event Logs for Process Mining via Subsampling
Author:
Affiliation:
1. University of Tartu,Tartu,Estonia
Funder
European Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9980474/9980534/09980619.pdf?arnumber=9980619
Reference25 articles.
1. Secure Multi-party Computation for Inter-organizational Process Mining
2. Shareprom: A tool for privacy-preserving interorganizational process mining;elkoumy;BPM (PhD/Demos) CEUR Workshop Proceedings,2020
3. Privacy and Confidentiality in Process Mining: Threats and Research Challenges
4. Mine me but don’t single me out: Differentially private event logs for process mining;elkoumy;ICPM5,2021
5. PRETSA: Event Log Sanitization for Privacy-aware Process Discovery
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An Abstraction-Based Approach for Privacy-Aware Federated Process Mining;IEEE Access;2023
2. TraVaG: Differentially Private Trace Variant Generation Using GANs;Lecture Notes in Business Information Processing;2023
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