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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Ming Ding

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Open access Oct 2026

CoP: Coordinated Perturbation for Controlled Disclosure Under Local Differential Privacy

CoP is proposed, a coordinated perturbation mechanism designed to mitigate CIL in multidimensional data collection while preserving utility and significantly outperforms state-of-the-art LDP mechanisms in reducing disclosure while preserving analytical accuracy.

Sandaru Jayawardana, Ming Ding, Kanchana Thilakarathna · 0 citations
Preprint Aug 2026

Dependency Triad: A Metric to Quantify the Dependencies Between Attributes for Local Differential Privacy

A novel metric, ``Dependency Triad''(DT), is proposed, which summarizes the pairwise dependency information relevant to CPL using three parameters and yields a conservative estimator of pairwise CPL, which is particularly suitable for high-cardinality attributes.

Sandaru Jayawardana, S. Ulukus, Ming Ding et al. · 0 citations

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