Deep Learning Application in Security and Privacy – Theory and Practice: A Position Paper

Julia A. Meister, Raja Naeem Akram, Konstantinos Markantonakis

Open source

DOI: 10.1007/978-3-030-20074-9_10
Published: 2019
Container: Lecture Notes in Computer Science
Publisher: Springer International Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/978-3-030-20074-9_10,
  title = {Deep Learning Application in Security and Privacy – Theory and Practice: A Position Paper},
  author = {Julia A. Meister and Raja Naeem Akram and Konstantinos Markantonakis},
  year = {2019},
  journal = {Lecture Notes in Computer Science},
  doi = {10.1007/978-3-030-20074-9_10},
  url = {https://doi.org/10.1007/978-3-030-20074-9_10}
}

RIS

TY  - JOUR
TI  - Deep Learning Application in Security and Privacy – Theory and Practice: A Position Paper
AU  - Julia A. Meister
AU  - Raja Naeem Akram
AU  - Konstantinos Markantonakis
PY  - 2019
JO  - Lecture Notes in Computer Science
DO  - 10.1007/978-3-030-20074-9_10
UR  - https://doi.org/10.1007/978-3-030-20074-9_10
ER  -

APA

Meister, J. A., Akram, R. N., & Markantonakis, K. (2019). Deep Learning Application in Security and Privacy – Theory and Practice: A Position Paper. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-20074-9_10

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crossref · retrieved 2026-11-04T23:53:48.131Z