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Secure and Efficient k-NN Queries.

, , , и . SEC, том 502 из IFIP Advances in Information and Communication Technology, стр. 155-170. Springer, (2017)

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Abdullah Salman Salman

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Abdul Rahman Asif

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Secure and Efficient k-NN Queries., , , и . SEC, том 502 из IFIP Advances in Information and Communication Technology, стр. 155-170. Springer, (2017)A Study of Users' Privacy Preferences for Data Sharing on Symptoms-Tracking/Health App., и . WPES@CCS, стр. 109-113. ACM, (2022)Identifying Anomalies While Preserving Privacy., , и . IEEE Trans. Knowl. Data Eng., 35 (12): 12264-12281 (декабря 2023)Differentially Private Outlier Detection in a Collaborative Environment., , , , и . Int. J. Cooperative Inf. Syst., 27 (3): 1850005:1-1850005:36 (2018)Preserving Missing Data Distribution in Synthetic Data., , и . WWW, стр. 2110-2121. ACM, (2023)Collaborative Differentially Private Outlier Detection for Categorical Data., , , , и . CIC, стр. 92-101. IEEE Computer Society, (2016)Intelligent Pandemic Surveillance via Privacy-Preserving Crowdsensing., , , , и . IEEE Intell. Syst., 37 (4): 88-96 (2022)A Privacy-Sensitive Collaborative Approach to Business Process Development., , , , , , , и . ICETE (Selected Papers), том 585 из Communications in Computer and Information Science, стр. 318-342. Springer, (2015)How to Accurately and Privately Identify Anomalies., , и . ACM Conference on Computer and Communications Security, стр. 719-736. ACM, (2019)Privacy Attitudes and COVID Symptom Tracking Apps: Understanding Active Boundary Management by Users., , , , и . iConference (2), том 13193 из Lecture Notes in Computer Science, стр. 332-346. Springer, (2022)