E-LIB Suche - Ergebnisse für: Bernau, Daniel

1

On the Privacy–Utility Trade-Off in Differentially Private ..:

Wunderlich, Dominik ; Bernau, Daniel ; Aldà, Francesco..
Applied Sciences. 12 (2022) 21 - p. 11177 , 2022

Link: https://doi.org/10.3390/..

2

Assessing Differentially Private Variational Autoencoders U..:

, In: Lecture Notes in Computer Science; Data and Applications Security and Privacy XXXVI,

Bernau, Daniel ; Robl, Jonas ; Kerschbaum, Florian - p. 3-14 , 2022

Link: https://doi.org/10.1007/..

3

Comparing Local and Central Differential Privacy Using Memb..:

, In: Data and Applications Security and Privacy XXXV; Lecture Notes in Computer Science,

Bernau, Daniel ; Robl, Jonas ; Grassal, Philip W... - p. 22-42 , 2021

Link: https://doi.org/10.1007/..

4

Quantifying identifiability to choose and audit ϵ in differ..:

Bernau, Daniel ; Eibl, Günther ; Grassal, Philip W...
Proceedings of the VLDB Endowment. 14 (2021) 13 - p. 3335-3347 , 2021

Link: https://doi.org/10.14778..

5

Monte Carlo and Reconstruction Membership Inference Attacks..:

Hilprecht, Benjamin ; Härterich, Martin ; Bernau, Daniel
Proceedings on Privacy Enhancing Technologies. 2019 (2019) 4 - p. 232-249 , 2019

Link: https://doi.org/10.2478/..

6

The influence of differential privacy on short term electri..:

Eibl, Günther ; Bao, Kaibin ; Grassal, Philip-William..
Energy Informatics. 1 (2018) S1 - p. , 2018

Link: https://doi.org/10.1186/..

7

Comparing Local and Central Differential Privacy Using Memb..:

Bernau, Daniel ; Robl, Jonas ; Grassal, Philip-William..
info:eu-repo/grantAgreement/EC/H2020/825333/. , 2022

Link: https://zenodo.org/recor..

8

Improved usability of differential privacy in machine learn..:

Bernau, Daniel
182118856X. , 2022

Link: https://doi.org/10.18419..

9

On the Privacy–Utility Trade-Off in Differentially Private ..:

Wunderlich, Dominik ; Bernau, Daniel ; Aldà, Francesco..
info:eu-repo/semantics/altIdentifier/wos/000883403300001. , 2022

Link: https://publikationen.bi..

10

On the privacy–utility trade-off in differentially private ..:

Wunderlich, Dominik ; Bernau, Daniel ; Aldà, Francesco..
https://www.mdpi.com/2076-3417/12/21/11177. , 2022

Link: http://hdl.handle.net/21..

11

Assessing Differentially Private Variational Autoencoders u..:

Bernau, Daniel ; Robl, Jonas ; Kerschbaum, Florian
http://arxiv.org/abs/2204.07877. , 2022

Link: http://arxiv.org/abs/220..

12

On the privacy-utility trade-off in differentially private ..:

Wunderlich, Dominik ; Bernau, Daniel ; Aldà, Francesco..
http://arxiv.org/abs/2103.02895. , 2021

Link: http://arxiv.org/abs/210..

13

Quantifying identifiability to choose and audit $\epsilon$ ..:

Bernau, Daniel ; Eibl, Günther ; Grassal, Philip W..
http://arxiv.org/abs/2103.02913. , 2021

Link: http://arxiv.org/abs/210..

14

Assessing differentially private deep learning with Members..:

Bernau, Daniel ; Grassal, Philip-William ; Robl, Jonas.
http://arxiv.org/abs/1912.11328. , 2019

Link: http://arxiv.org/abs/191..

15

Reconstruction and Membership Inference Attacks against Gen..:

Hilprecht, Benjamin ; Härterich, Martin ; Bernau, Daniel
http://arxiv.org/abs/1906.03006. , 2019

Link: http://arxiv.org/abs/190..