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#

randomized-response

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

  • UpdatedAug 26, 2024
  • Python

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.

  • UpdatedDec 17, 2024
  • HTML

Privacy-Optimized Randomized Response for Sharing Multi-Attribute Data

  • UpdatedFeb 3, 2025
  • Jupyter Notebook

Privacy-Preserving Genomic Statistical Analysis Under Local Differential Privacy

  • UpdatedOct 27, 2023
  • Jupyter Notebook

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