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Sensitivity Analysis for Non-Interactive Differential Privacy: Bounds and Efficient Algorithms.

, , and . IEEE Trans. Dependable Secur. Comput., 17 (1): 194-207 (2020)

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Privacy-Preserving Inductive Learning with Decision Trees., , , and . BigData Congress, page 57-64. IEEE Computer Society, (2017)Privacy-Preserving Publishing of Hierarchical Data., , , and . ACM Trans. Priv. Secur., 19 (3): 7:1-7:29 (2016)Known Sample Attacks on Relation Preserving Data Transformations., , , and . IEEE Trans. Dependable Secur. Comput., 17 (2): 443-450 (2020)Privacy-Preserving Learning Analytics: Challenges and Techniques., , , and . IEEE Trans. Learn. Technol., 10 (1): 68-81 (2017)Cross-Layer Strategic Ensemble Defense Against Adversarial Examples., , , , , , and . CoRR, (2019)An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy., , , , and . IEEE Trans. Inf. Forensics Secur., (2022)Scalable reactive vehicle-to-vehicle congestion avoidance mechanism., , , and . CCNC, page 943-948. IEEE, (2015)Differentially Private Model Publishing for Deep Learning., , , , and . IEEE Symposium on Security and Privacy, page 332-349. IEEE, (2019)Longitudinal attacks against iterative data collection with local differential privacy.. Turkish J. Electr. Eng. Comput. Sci., 32 (1): 198-218 (2024)Demystifying Membership Inference Attacks in Machine Learning as a Service., , , , and . IEEE Trans. Serv. Comput., 14 (6): 2073-2089 (2021)