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Zhanke Zhou
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@@ -23,7 +23,7 @@ Arxiv 2022 - A Survey of Trustworthy Graph Learning: Reliability, Explainability
[[paper]](https://arxiv.org/pdf/2205.10014.pdf)
### General domain (including the computer vision)
### Computer vision domain
USENIX Security 2014 - Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing.
[[paper]](https://www.usenix.org/system/files/conference/usenixsecurity14/sec14-paper-fredrikson-privacy.pdf)
@@ -156,6 +156,7 @@ TIFS 2022 - Model Inversion Attack by Integration of Deep Generative Models: Pri
USENIX Security 2020 - Stealing Links from Graph Neural Networks.
[[paper]](https://www.usenix.org/system/files/sec21-he-xinlei.pdf)
[[code]](https://github.com/xinleihe/link_stealing_attack)
IJCAI 2021 - GraphMI: Extracting Private Graph Data from Graph Neural Networks.
[[paper]](https://arxiv.org/pdf/2106.02820)
@@ -190,7 +191,7 @@ Arxiv 2022 - Degree-Preserving Randomized Response for Graph Neural Networks und
Arxiv 2022 - Private Graph Extraction via Feature Explanations.
[[paper]](https://arxiv.org/pdf/2206.14724.pdf)
### NLP domain
### Natural language processing domain
USENIX Security 2021 - Extracting training data from large language models.
[[paper]](https://www.usenix.org/system/files/sec21-carlini-extracting.pdf)