Chen, Y, Yang, X & Deligiannis, N 2024, Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients. in A Leonardis, E Ricci, S Roth, O Russakovsky, T Sattler & G Varol (eds), The 18th European Conference on Computer Vision ECCV 2024. 1 edn, 17, Lecture Notes in Computer Science, vol. 15059, Springer, pp. 397.
Chen, Y., Yang, X., & Deligiannis, N. (2024). Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), The 18th European Conference on Computer Vision ECCV 2024 (1 ed., pp. 397). Article 17 (Lecture Notes in Computer Science; Vol. 15059). Springer.
@inbook{03317be63c2042ea8aed4f49f39bc346,
title = "Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients",
author = "Yiming Chen and Xiangyu Yang and Nikos Deligiannis",
year = "2024",
language = "English",
isbn = "9783031732317",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "397",
editor = "Leonardis, \{Ale{\v s} \} and Ricci, \{Elisa \} and Stefan Roth and Olga Russakovsky and Torsten Sattler and G{\"u}l Varol",
booktitle = "The 18th European Conference on Computer Vision ECCV 2024",
edition = "1",
}