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cs.CR2026
Dependency Triad: A Metric to Quantify the Dependencies Between Attributes for Local Differential Privacy
Sandaru Jayawardana, Sennur Ulukus, Ming Ding +1
Collecting multidimensional user data is essential for extracting rich insights across various applications. Local Differential Privacy (LDP) has emerged as a de facto standard for…
cs.CR2025
The Hidden Cost of Correlation: Rethinking Privacy Leakage in Local Differential Privacy
Sandaru Jayawardana, Sennur Ulukus, Ming Ding +1
Local differential privacy (LDP) has emerged as a promising paradigm for privacy-preserving data collection in distributed systems, where users contribute multi-dimensional records…