Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction. Shi, S., Wang, N., Xiao, Y., Zhang, C., Shi, Y., Hou, Y. T., & Lou, W. CoRR, 2023.
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction. [link]Link  Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction. [link]Paper  bibtex   
@article{journals/corr/abs-2311-05808,
  added-at = {2024-07-25T00:00:00.000+0200},
  author = {Shi, Shanghao and Wang, Ning and Xiao, Yang and Zhang, Chaoyu and Shi, Yi and Hou, Y. Thomas and Lou, Wenjing},
  biburl = {https://www.bibsonomy.org/bibtex/242ff3cf4b6d56860b961a62bc7ba00b3/dblp},
  ee = {https://doi.org/10.48550/arXiv.2311.05808},
  interhash = {2fca7a0ace20495c6a59d5ceadb0d23b},
  intrahash = {42ff3cf4b6d56860b961a62bc7ba00b3},
  journal = {CoRR},
  keywords = {dblp},
  timestamp = {2024-07-29T07:06:02.000+0200},
  title = {Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction.},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr2311.html#abs-2311-05808},
  volume = {abs/2311.05808},
  year = 2023
}

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