mmalekzadeh/honest-but-curious-nets

Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)

/ 100

Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 6 / 25

Maturity 9 / 25

Community 13 / 25

Stars

Forks

Language

Python

License

MIT

Category

Last pushed

Jan 11, 2023

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/mmalekzadeh/honest-but-curious-nets"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

google/scaaml

SCAAML: Side Channel Attacks Assisted with Machine Learning

Koukyosyumei/AIJack

Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

pralab/secml

A Python library for Secure and Explainable Machine Learning

AI-SDC/SACRO-ML

Collection of tools and resources for managing the statistical disclosure control of trained...

liuyugeng/ML-Doctor

Code for ML Doctor