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cs.CR2024
Hiding Your Awful Online Choices Made More Efficient and Secure: A New Privacy-Aware Recommender System
Shibam Mukherjee, Roman Walch, Fredrik Meisingseth +2
Recommender systems are an integral part of online platforms that recommend new content to users with similar interests. However, they demand a considerable amount of user activity…
cs.CR2024★ 2 cited
Large-Scale MPC: Scaling Private Iris Code Uniqueness Checks to Millions of Users
Remco Bloemen, Bryan Gillespie, Daniel Kales +2
In this work we tackle privacy concerns in biometric verification systems that typically require server-side processing of sensitive data (e.g., fingerprints and Iris Codes). Concr…