Privacy-Oriented Cryptography (Dagstuhl Seminar 12381)

By Jan Camenisch, M. Manulis, Gene Tsudik, Rebecca N. Wright. 2012

Subfields: Privacy & Security

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Privacy & Security

1. Fernando Perez-Cruz
2. Giuseppe Ateniese
3. Briland Hitaj
4. Emiliano De Cristofaro
5. Luca Melis
6. Vitaly Shmatikov
7. Congzheng Song
8. Qiang Yang

Citations in the corpus

• Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning (2017, methodology): “ng Models To the best of our knowledge, the first work that deals with extracting unexpected information from trained models is the one from Ateniese et al. [4] (released in 2011 and on arXiv in 2013 [4, 12]). There, the authors devised a meta-classifier that is trained tohack intoothermachinelearni”