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Data is now unanimously considered a key firm asset for enabling better operational decisions. However, data-driven decisions can inadvertently expose private data, leaving firms vulnerable to unforeseen danger. How to manage data security risks by protecting data from being inferred from observable decisions thus becomes an important question. In this paper, we focus on data security in supply chains due to their data-intensive nature. Specifically, we examine a data-driven contextual newsvendor problem. To quantify and ensure data security, we adopt the notion of differential privacy, a mathematically rigorous measure of data security that limits an attacker’s inference accuracy. Employing convolution smoothing and noise injection, we propose several differentially private algorithms that provably guarantee both data security and asymptotic optimality with (near) optimal rates. In the non-asymptotic regime, we further identify three drivers of the cost of data security; namely, dataset size, context, and number of products. This finding suggests that gathering more data, collecting detailed context, and pooling data from multiple products can lower data security cost. Lastly, we examine the impact of a newsvendor’s private algorithms on supply chain partners. We discover additional distortion to the demand signaling process and lower profit share for an upstream supplier.

ARISE Program – Validate

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DH Asia Webinar Series: “Computational Methods and Intangible Cultural Heritage” by Dr. Miguel Escobar Varela

Congratulations to PhD student Hee Ming Shan for obtaining SDSC Dissertion Research Fellowship 2023

Congratulations to Associate Professor Lu Wei and his team for their successful launch of new AI Model “TinyLlama”

Assessing license applications submitted by Financial Institutions can be a long and manual process with stringent requirements to be met to ensure Singapore remains a secure and stable financial hub. How might we enable a smooth and comprehensive process for Financial Institutions to transact with Monetary Authority of Singapore so that applications can be processed more efficiently? With the launch of eLicensing application, the application process has now become more streamlined with automated processes and built-in validations for forms.

Entrepreneurship Capstone Bootcamp

AWS Workshop – How to Hack the Tech Interview