model-inversion topic

Privacy Testing for Deep Learning

trailofbits

reveal the vulnerabilities of SplitNN

Koukyosyumei

A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.

ffhibnese

[ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be Careful What You Smooth For".

LukasStruppek

Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021

wangkua1