Author:
Bernau Daniel,Robl Jonas,Kerschbaum Florian
Publisher
Springer International Publishing
Reference31 articles.
1. Abadi, M., et al.: Deep learning with differential privacy. In: Proceedings of the Conference on Computer and Communications Security CCS (2016)
2. Bernau, D., Robl, J., Grassal, P.W., Schneider, S., Kerschbaum, F.: Comparing local and central differential privacy using membership inference attacks. In: Proceedings of Conference on Data and Applications Security and Privacy. DBSEC (2021)
3. Bernau, D., Robl, J., Kerschbaum, F.: Assessing differentially private variational autoencoders under membership inference (2022)
4. Carlini, N., Liu, C., Erlingsson, U., Kos, J., Song, D.: The secret sharer. In: Proceedings of USENIX Security Symposium (2019)
5. Chen, D., Yu, N., Zhang, Y., Fritz, M.: GAN-leaks. In: Proceedings of Conference on Computer and Communications Security. CCS (2020)
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