machine-learning-privacy
Here are 7 public repositories matching this topic...
A curated list of Federated Learning papers/articles and recent advancements.
- Updated
Feb 19, 2023
Official implementation of "Graph Unlearning" (ACM CCS 2022)
- Updated
Mar 10, 2023 - Python
A School for All Seasons on Trustworthy Machine Learning
- Updated
Jun 30, 2021
Official implementation of "FACE-AUDITOR: Data Auditing in Facial Recognition Systems" (USENIX Security 2023)
- Updated
May 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)
- Updated
May 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.
- Updated
Oct 18, 2024
Code for our paper 'Formalizing Distribution Inference Risks'
- Updated
Jul 20, 2021 - Python
Improve this page
Add a description, image, and links to themachine-learning-privacy topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with themachine-learning-privacy topic, visit your repo's landing page and select "manage topics."