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cs.CR2024
Building a Privacy Web with SPIDEr -- Secure Pipeline for Information De-Identification with End-to-End Encryption
Novoneel Chakraborty, Anshoo Tandon, Kailash Reddy +5
Data de-identification makes it possible to glean insights from data while preserving user privacy. The use of Trusted Execution Environments (TEEs) allow for the execution of de-i…
cs.CR2024
Mean Estimation with User-Level Privacy for Spatio-Temporal IoT Datasets
V. Arvind Rameshwar, Anshoo Tandon, Prajjwal Gupta +3
This paper considers the problem of the private release of sample means of speed values from traffic datasets. Our key contribution is the development of user-level differentially…