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Privacy Engineering

Privacy engineering applies engineering principles to protect data privacy in systems and products. It involves minimizing data collection, implementing safeguards, and ensuring compliance with privacy laws. Engineers create technical solutions that incorporate privacy-enhancing technologies and follow principles like data minimization. The aim is to protect personal information while maintaining functionality and innovation in digital products.

Privacy Engineering
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Input vs Output Privacy

Privacy in data systems has traditionally focused on protecting sensitive information as it enters a system - what we call input privacy. However, as systems become more complex and capable of inferring sensitive information from seemingly harmless data, the importance of output privacy has gained...

Privacy Engineering
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Birds of a Feather Leak Together: The Set Bias Privacy Problem

Secure multi-party computation (SMPC) enables organisations to collaborate on sensitive data analysis without directly sharing raw information. However, seemingly harmless aggregate outputs, particularly private set intersection (PSI), can leak individual-level information when analysed strategically over time. This post is based on research presented by Guo...

Privacy Engineering
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Top-down vs. Bottom up Privacy

Tech companies and large consumer businesses are grappling with how best to protect end-user data while maintaining pace of innovation and competitive edge. Two distinct approaches have emerged: top-down and bottom-up privacy. Understanding these approaches is essential for anyone involved in privacy engineering, product development,...