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Privacy protection of user profiles in online search via semantic randomization., , , and . Knowl. Inf. Syst., 63 (9): 2455-2477 (2021)Outsourcing analyses on privacy-protected multivariate categorical data stored in untrusted clouds., , , and . Knowl. Inf. Syst., 62 (6): 2301-2326 (2020)Universality and diversity in word patterns., , , , and . CoRR, (2022)The limits of differential privacy (and its misuse in data release and machine learning)., , and . Commun. ACM, 64 (7): 33-35 (2021)A framework for unifying ontology-based semantic similarity measures: A study in the biomedical domain, , , , and . Journal of Biomedical Informatics, (2014)Anonymisation Models for Text Data: State of the art, Challenges and Future Directions., , , , and . ACL/IJCNLP (1), page 4188-4203. Association for Computational Linguistics, (2021)Vertical Rotor for the Implementation of Control Laws.. ACE, page 224-229. International Federation of Automatic Control, (2012)Automatic Anonymization of Textual Documents: Detecting Sensitive Information via Word Embeddings., , , and . TrustCom/BigDataSE, page 358-365. IEEE, (2019)Detecting Bad Answers in Survey Data Through Unsupervised Machine Learning., , , , , and . PSD, volume 12276 of Lecture Notes in Computer Science, page 309-320. Springer, (2020)Enhancing data utility in differential privacy via microaggregation-based k-anonymity., , , and . VLDB J., 23 (5): 771-794 (2014)