Differential Privacy for Learning Vector Quantization

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

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

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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.
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