On strengthening and defending graph reconstruction attack with markov chain approximation
Although powerful graph neural networks (GNNs) have boosted numerous real-world
applications, the potential privacy risk is still underexplored. To close this gap, we perform …
applications, the potential privacy risk is still underexplored. To close this gap, we perform …
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
Z Zhou, C Zhou, X Li, J Yao, B Han - openreview.net
Although powerful graph neural networks (GNNs) have boosted numerous real-world
applications, the potential privacy risk is still underexplored. To close this gap, we perform …
applications, the potential privacy risk is still underexplored. To close this gap, we perform …
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
Z Zhou, C Zhou, X Li, J Yao, Q Yao… - … on Machine Learning, 2023 - proceedings.mlr.press
Although powerful graph neural networks (GNNs) have boosted numerous real-world
applications, the potential privacy risk is still underexplored. To close this gap, we perform …
applications, the potential privacy risk is still underexplored. To close this gap, we perform …
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
Z Zhou, C Zhou, X Li, J Yao, Q Yao, B Han - andrewzhou924.github.io
We perform the first comprehensive study of graph reconstruction attack (GRA). By taking
GNN as a Markov chain and attacking GNN via a flexible chain approximation, we …
GNN as a Markov chain and attacking GNN via a flexible chain approximation, we …
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
Z Zhou, C Zhou, X Li, J Yao, Q Yao, B Han - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Although powerful graph neural networks (GNNs) have boosted numerous real-world
applications, the potential privacy risk is still underexplored. To close this gap, we perform …
applications, the potential privacy risk is still underexplored. To close this gap, we perform …
On strengthening and defending graph reconstruction attack with Markov chain approximation
Z Zhou, C Zhou, X Li, J Yao, Q Yao, B Han - Proceedings of the 40th …, 2023 - dl.acm.org
Although powerful graph neural networks (GNNs) have boosted numerous real-world
applications, the potential privacy risk is still under-explored. To close this gap, we perform …
applications, the potential privacy risk is still under-explored. To close this gap, we perform …