Differential Privacy for Learning Vector Quantization

Brinkrolf J, Berger K, Hammer B (2017)
In: New Challenges in Neural Computation.

Konferenzbeitrag | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Brinkrolf, JohannesUniBi ; Berger, Kolja; Hammer, BarbaraUniBi
Einrichtung
Center of Excellence - Cognitive Interaction Technology CITEC
Technische Fakultät > AG Machine Learning
Erscheinungsjahr
2017
Titel des Konferenzbandes
New Challenges in Neural Computation
Page URI
https://pub.uni-bielefeld.de/record/2914950

Zitieren

Brinkrolf J, Berger K, Hammer B. Differential Privacy for Learning Vector Quantization. In: New Challenges in Neural Computation. 2017.
Brinkrolf, J., Berger, K., & Hammer, B. (2017). Differential Privacy for Learning Vector Quantization. New Challenges in Neural Computation
Brinkrolf, Johannes, Berger, Kolja, and Hammer, Barbara. 2017. “Differential Privacy for Learning Vector Quantization”. In New Challenges in Neural Computation.
Brinkrolf, J., Berger, K., and Hammer, B. (2017). “Differential Privacy for Learning Vector Quantization” in New Challenges in Neural Computation.
Brinkrolf, J., Berger, K., & Hammer, B., 2017. Differential Privacy for Learning Vector Quantization. In New Challenges in Neural Computation.
J. Brinkrolf, K. Berger, and B. Hammer, “Differential Privacy for Learning Vector Quantization”, New Challenges in Neural Computation, 2017.
Brinkrolf, J., Berger, K., Hammer, B.: Differential Privacy for Learning Vector Quantization. New Challenges in Neural Computation. (2017).
Brinkrolf, Johannes, Berger, Kolja, and Hammer, Barbara. “Differential Privacy for Learning Vector Quantization”. New Challenges in Neural Computation. 2017.
Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Suchen in

Google Scholar