Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning?: A Case Study Using Dual Energy CT Data

Maier A, Yang SH, Maleki F, Muthukrishnan N, Forghani R (2022)

Publication Type: Conference contribution

Publication year: 2022

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer Science and Business Media Deutschland GmbH

Pages Range: 345-350

Conference Proceedings Title: Informatik aktuell

Event location: Heidelberg, DEU

ISBN: 9783658369316

DOI: 10.1007/978-3-658-36932-3_70

Abstract

In the domain of medical image processing, medical device manufacturers protect their intellectual property in many cases by shipping only compiled software, i.e. binary code which can be executed but is difficult to be understood by a potential attacker. In this paper, we investigate how well this procedure is able to protect image processing algorithms. In particular, we investigate whether the computation of mono-energetic images and iodine maps from dual energy CT data can be reverse-engineered by machine learning methods. Our results indicate that both can be approximated using only one single slice image as training data at a very high accuracy with structural similarity greater than 0.98 in all investigated cases.

Authors with CRIS profile

Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Seung Hee Yang Professur für Artificial Intelligence in Biomedical Speech Processing (Stiftungsprofessur)

Involved external institutions

McGill University CA Canada (CA)

How to cite

APA:

Maier, A., Yang, S.H., Maleki, F., Muthukrishnan, N., & Forghani, R. (2022). Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning?: A Case Study Using Dual Energy CT Data. In Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 345-350). Heidelberg, DEU: Springer Science and Business Media Deutschland GmbH.

MLA:

Maier, Andreas, et al. "Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning?: A Case Study Using Dual Energy CT Data." Proceedings of the German Workshop on Medical Image Computing, 2022, Heidelberg, DEU Ed. Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff, Springer Science and Business Media Deutschland GmbH, 2022. 345-350.

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