Implementation of two new protocols in the Shuffle Model of Differential Privacy for the private summation of vector-valued messages

A privacy-preserving twist on Tetris where players manage their privacy budget (epsilon) to reveal block shapes and colors, demonstrating differential privacy's real-world privacy-utility tradeoffs through gameplay.

Privacy-Optimized Randomized Response for Sharing Multi-Attribute Data

Privacy-Preserving Genomic Statistical Analysis Under Local Differential Privacy