From 9051ad34d3915591caa69284eac90752fed9ff47 Mon Sep 17 00:00:00 2001 From: Zhanke Zhou Date: Tue, 24 Dec 2024 11:16:35 +0100 Subject: [PATCH] Update README.md --- README.md | 21 +++++++++++++++++---- 1 file changed, 17 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 0dc5275..6694326 100644 --- a/README.md +++ b/README.md @@ -10,13 +10,26 @@ Please star or watch this repository to keep tracking the latest updates! Contri ## NEWS -- **[Nov/2024]** We release a comprehensive survey of model inversion attacks. Check the [paper](https://arxiv.org/pdf/2411.10023). +- **[Nov/2024]** We release a comprehensive survey of model inversion attacks. Check our paper on [Arxiv](https://arxiv.org/pdf/2411.10023). -**Outlines:** +### **Citation** + +If you find this repo helpful, please kindly cite our paper. Thank you :) + +``` +@article{zhou2024model, + title={Model Inversion Attacks: A Survey of Approaches and Countermeasures}, + author={Zhou, Zhanke and Zhu, Jianing and Yu, Fengfei and Li, Xuan and Peng, Xiong and Liu, Tongliang and Han, Bo}, + journal={arXiv preprint arXiv:2411.10023}, + year={2024} +} +``` + +### **Outlines of this repo:** - [NEWS](#news) - [What is the model inversion attack?](#what-is-the-model-inversion-attack) -- [Survey](#survey) +- [Related Survey](#related-survey) - [Computer vision domain](#computer-vision-domain) - [Graph learning domain](#graph-learning-domain) - [Natural language processing domain](#natural-language-processing-domain) @@ -34,7 +47,7 @@ The goal of model inversion attacks is to recreate training data or sensitive at In model inversion attacks, a malicious user attempts to recover the private dataset used to train a supervised neural network. A successful model inversion attack should generate realistic and diverse samples that accurately describe each of the classes in the private dataset. (Wang et al, 2021.) -## Survey +## Related Survey - [arXiv 2024] Model Inversion Attacks: A Survey of Approaches and Countermeasures. [[paper]](https://arxiv.org/pdf/2411.10023)