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<img src="https://img.shields.io/github/stars/AndrewZhou924/Awesome-model-inversion-attack?color=yellow&label=Star" alt="Stars" >
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A curated list of resources for model inversion attack (MIA).
If some related papers are missing, please contact us via pull requests.
If some related papers are missing, please contact us via pull requests :)
**Outlines:**
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- [What is the model inversion attack?](#what-is-the-model-inversion-attack)
- [Survey](#survey)
- [Computer vision domain](#computer-vision-domain)
- [TODO](#todo)
- [Graph learning domain](#graph-learning-domain)
- [TODO](#todo-1)
- [Natural language processing domain](#natural-language-processing-domain)
- [Tools](#tools)
- [Others](#others)
@@ -474,28 +475,7 @@ CVPR 2023 - Re-thinking Model Inversion Attacks Against Deep Neural Networks
| 2022 | Finding MNEMON: Reviving Memories of Node Embeddings | - | CCS | [Paper](https://arxiv.org/pdf/2204.06963.pdf) | - |
| 2022 | Defense against membership inference attack in graph neural networks through graph perturbation | - | IJIS | [Paper](https://link.springer.com/article/10.1007/s10207-022-00646-y) | - |
| 2022 | Model Inversion Attacks against Graph Neural Networks | - | TKDE | [Paper](https://arxiv.org/pdf/2209.07807.pdf) | - |
| 2023 | On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation | - | ICML |
[Paper](https://openreview.net/pdf?id=Vcl3qckVyh) | [Code](https://github.com/tmlr-group/MC-GRA) |
### TODO
| Year | Title | Venue | Paper Link | Code Link |
| ---- | ----- | ----- | ---------- | --------- |
| 2021 | Membership Inference Attack on Graph Neural Networks | International Conference on Trust, Privacy and Security in Intelligent Systems and Applications | [Paper](https://arxiv.org/pdf/2101.06570.pdf) | - |
| 2020 | Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation | ACM Asia Conference on Computer and Communications Security | [Paper](https://arxiv.org/pdf/2010.12751.pdf) | - |
| 2021 | Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications | Industrial Conference on Data Mining | [Paper](https://arxiv.org/pdf/2110.08760.pdf) | - |
| 2020 | Locally Private Graph Neural Networks | Conference on Computer and Communications Security | [Paper](https://arxiv.org/pdf/2006.05535.pdf) | - |
| 2020 | Backdoor Attacks to Graph Neural Networks | ACM Symposium on Access Control Models and Technologies | [Paper](https://arxiv.org/pdf/2006.11165.pdf) | - |
| 2019 | Attacking Graph-based Classification via Manipulating the Graph Structure | Conference on Computer and Communications Security | [Paper](https://arxiv.org/pdf/1903.00553.pdf) | - |
| 2021 | Private Graph Data Release: A Survey | ACM Computing Surveys | [Paper](https://arxiv.org/pdf/2107.04245.pdf) |
| 2022 | Differentially Private Graph Neural Networks for Whole-Graph Classification | IEEE Transactions on Pattern Analysis and Machine Intelligence | [Paper](https://ieeexplore.ieee.org/ielx7/34/4359286/09980390.pdf) | - |
| ---- | Node-Differentially Private Estimation of the Number of Connected Components | arXiv | [Paper](https://arxiv.org/pdf/2304.05890.pdf) | - |
| 2022 | LPGNet: Link Private Graph Networks for Node Classification | Conference on Computer and Communications Security | [Paper](https://arxiv.org/pdf/2205.03105.pdf) | - |
| ---- | Releasing Graph Neural Networks with Differential Privacy Guarantees | arXiv | [Paper](https://arxiv.org/pdf/2109.08907.pdf) | - |
| 2021 | DPGraph: A Benchmark Platform for Differentially Private Graph Analysis | SIGMOD Conference | [Paper](https://dl.acm.org/doi/pdf/10.1145/3448016.3452756) | - |
| 2015 | Private Release of Graph Statistics using Ladder Functions | SIGMOD Conference | [Paper](http://wrap.warwick.ac.uk/67368/7/WRAP_Cormode.pdf) | - |
| 2021 | LINKTELLER: Recovering Private Edges from Graph Neural Networks via Influence Analysis | IEEE Symposium on Security and Privacy | [Paper](https://arxiv.org/pdf/2108.06504.pdf) | - |
| ---- | GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation | arXiv | [Paper](https://arxiv.org/pdf/2203.00949.pdf) | - |
| ---- | GrOVe: Ownership Verification of Graph Neural Networks using Embeddings | arXiv | [Paper](https://arxiv.org/pdf/2304.08566.pdf) | - |
| 2023 | On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation | white-box | ICML |[Paper](https://openreview.net/pdf?id=Vcl3qckVyh) | [Code](https://github.com/tmlr-group/MC-GRA) |
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USENIX Security 2020 - Stealing Links from Graph Neural Networks.