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Generation of Synthetic Trajectory Microdata from Language Models.

, , , and . PSD, volume 13463 of Lecture Notes in Computer Science, page 172-187. Springer, (2022)

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A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning., , , and . ACM Comput. Surv., 55 (8): 160:1-160:16 (2023)Ethical Value-Centric Cybersecurity: A Methodology Based on a Value Graph., and . Sci. Eng. Ethics, 26 (3): 1267-1285 (2020)Secure, accurate and privacy-aware fully decentralized learning via co-utility., , , and . Comput. Commun., (July 2023)Generation of Synthetic Trajectory Microdata from Language Models., , , and . PSD, volume 13463 of Lecture Notes in Computer Science, page 172-187. Springer, (2022)The limits of differential privacy (and its misuse in data release and machine learning)., , and . Commun. ACM, 64 (7): 33-35 (2021)Achieving security and privacy in federated learning systems: Survey, research challenges and future directions., , , , , and . Eng. Appl. Artif. Intell., (2021)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)Dynamic group size accreditation and group discounts preserving anonymity., , and . Int. J. Inf. Sec., 17 (3): 243-260 (2018)Machine learning explainability via microaggregation and shallow decision trees., , , and . Knowl. Based Syst., (2020)Defending against the Label-flipping Attack in Federated Learning., , , and . CoRR, (2022)