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Sharing in a Trustless World: Privacy-Preserving Data Analytics with Potentially Cheating Participants.

, , , , and . CoRR, (2021)

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Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy., , , , , and . IEEE Trans. Knowl. Data Eng., 35 (4): 3619-3631 (April 2023)Local Differentially Private Fuzzy Counting in Stream Data Using Probabilistic Data Structures., , and . IEEE Trans. Knowl. Data Eng., 35 (8): 8185-8198 (August 2023)On Inferring Training Data Attributes in Machine Learning Models., , , and . CoRR, (2019)Privacy Preserving Text Data Encoding and Topic Modelling., , , and . IEEE BigData, page 1308-1316. IEEE, (2021)Vulnerabilities in Anonymous Credential Systems., , , , , and . STM@ESORICS, volume 197 of Electronic Notes in Theoretical Computer Science, page 141-148. Elsevier, (2007)Sharing in a Trustless World: Privacy-Preserving Data Analytics with Potentially Cheating Participants., , , , and . CoRR, (2021)A three round authenticated group key agreement protocol for ad hoc networks., , , and . Pervasive Mob. Comput., 3 (1): 36-52 (2007)Privacy risk quantification in education data using Markov model., , , , and . Br. J. Educ. Technol., 53 (4): 804-821 (2022)Local Differentially Private Fuzzy Counting in Stream Data using Probabilistic Data Structure., , and . CoRR, (2022)On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models., , , , , , , and . EuroS&P, page 232-251. IEEE, (2021)