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#

machine-learning-privacy

Here are 7 public repositories matching this topic...

Official implementation of "Graph Unlearning" (ACM CCS 2022)

  • UpdatedMar 10, 2023
  • Python

Official implementation of "FACE-AUDITOR: Data Auditing in Facial Recognition Systems" (USENIX Security 2023)

  • UpdatedMay 3, 2023
  • Python

The source code of the paper "Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks", in IEEE European Symposium on Security and Privacy (EuroS&P 2024)

  • UpdatedMay 14, 2024
  • Python

There are many popular fitness tracking apps on the market, usually joined with the purchase of their respective hardware (wearable band, smartwatch). The dark side of these apps and wearable devices is about information privacy, as society considers medical and biometric data highly sensitive.

  • UpdatedOct 18, 2024
distribution_inference

Code for our paper 'Formalizing Distribution Inference Risks'

  • UpdatedJul 20, 2021
  • Python

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