Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications
Ullah S, Attaullah H, Jungeblut T (2024)
In: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI. Omitaomu OA, Mostafavi A, Randhawa S, Niu H (Eds); New York, NY, USA: ACM: 50-53.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Ullah, SanaUniBi 
;
Attaullah, Hasina;
Jungeblut, Thorsten
;
Attaullah, Hasina;
Jungeblut, ThorstenHerausgeber*in
Omitaomu, Olufemi A.;
Mostafavi, Ali;
Randhawa, Sukanya;
Niu, Haoran
Erscheinungsjahr
2024
Titel des Konferenzbandes
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI
Seite(n)
50-53
Konferenz
SIGSPATIAL '24: The 32nd ACM International Conference on Advances in Geographic Information Systems
Konferenzort
Atlanta GA USA
Konferenzdatum
2024-10-29 – 2024-11-01
ISBN
9798400711565
Page URI
https://pub.uni-bielefeld.de/record/2994112
Zitieren
Ullah S, Attaullah H, Jungeblut T. Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications. In: Omitaomu OA, Mostafavi A, Randhawa S, Niu H, eds. Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI. New York, NY, USA: ACM; 2024: 50-53.
Ullah, S., Attaullah, H., & Jungeblut, T. (2024). Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications. In O. A. Omitaomu, A. Mostafavi, S. Randhawa, & H. Niu (Eds.), Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI (pp. 50-53). New York, NY, USA: ACM. https://doi.org/10.1145/3681780.3697244
Ullah, Sana, Attaullah, Hasina, and Jungeblut, Thorsten. 2024. “Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications”. In Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI, ed. Olufemi A. Omitaomu, Ali Mostafavi, Sukanya Randhawa, and Haoran Niu, 50-53. New York, NY, USA: ACM.
Ullah, S., Attaullah, H., and Jungeblut, T. (2024). “Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications” in Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI, Omitaomu, O. A., Mostafavi, A., Randhawa, S., and Niu, H. eds. (New York, NY, USA: ACM), 50-53.
Ullah, S., Attaullah, H., & Jungeblut, T., 2024. Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications. In O. A. Omitaomu, et al., eds. Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI. New York, NY, USA: ACM, pp. 50-53.
S. Ullah, H. Attaullah, and T. Jungeblut, “Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications”, Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI, O.A. Omitaomu, et al., eds., New York, NY, USA: ACM, 2024, pp.50-53.
Ullah, S., Attaullah, H., Jungeblut, T.: Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications. In: Omitaomu, O.A., Mostafavi, A., Randhawa, S., and Niu, H. (eds.) Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI. p. 50-53. ACM, New York, NY, USA (2024).
Ullah, Sana, Attaullah, Hasina, and Jungeblut, Thorsten. “Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications”. Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI. Ed. Olufemi A. Omitaomu, Ali Mostafavi, Sukanya Randhawa, and Haoran Niu. New York, NY, USA: ACM, 2024. 50-53.
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