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Security of neuromorphic systems: Challenges and solutions

Publication ,  Conference
Liu, B; Yang, C; Li, H; Chen, Y; Wu, Q; Barnell, M
Published in: Proceedings - IEEE International Symposium on Circuits and Systems
July 29, 2016

With the rapid growth of big-data applications, advanced data processing technologies, e.g., machine learning, are widely adopted in many industry fields. Although these technologies demonstrate powerful data analyzing and processing capability, there exist some security concerns that may potentially expose the user/owner of the services to information safety risk. In particular, the adoption of neuromorphic computing systems that implement neural network and machine learning algorithms on hardware generates the need for protecting the data security in such systems. In this paper, we introduce the security concerns in the learning-based applications and propose a secured neuromorphic system design that can prevent potential attackers from replicating the learning model. Our results show that the computation accuracy of the designed neuromorphic computing system will quickly degrade when no proper authorization is given, by leveraging the drifting effect of the memristor device.

Duke Scholars

Published In

Proceedings - IEEE International Symposium on Circuits and Systems

DOI

ISSN

0271-4310

Publication Date

July 29, 2016

Volume

2016-July

Start / End Page

1326 / 1329
 

Citation

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Liu, B., Yang, C., Li, H., Chen, Y., Wu, Q., & Barnell, M. (2016). Security of neuromorphic systems: Challenges and solutions. In Proceedings - IEEE International Symposium on Circuits and Systems (Vol. 2016-July, pp. 1326–1329). https://doi.org/10.1109/ISCAS.2016.7527493
Liu, B., C. Yang, H. Li, Y. Chen, Q. Wu, and M. Barnell. “Security of neuromorphic systems: Challenges and solutions.” In Proceedings - IEEE International Symposium on Circuits and Systems, 2016-July:1326–29, 2016. https://doi.org/10.1109/ISCAS.2016.7527493.
Liu B, Yang C, Li H, Chen Y, Wu Q, Barnell M. Security of neuromorphic systems: Challenges and solutions. In: Proceedings - IEEE International Symposium on Circuits and Systems. 2016. p. 1326–9.
Liu, B., et al. “Security of neuromorphic systems: Challenges and solutions.” Proceedings - IEEE International Symposium on Circuits and Systems, vol. 2016-July, 2016, pp. 1326–29. Scopus, doi:10.1109/ISCAS.2016.7527493.
Liu B, Yang C, Li H, Chen Y, Wu Q, Barnell M. Security of neuromorphic systems: Challenges and solutions. Proceedings - IEEE International Symposium on Circuits and Systems. 2016. p. 1326–1329.

Published In

Proceedings - IEEE International Symposium on Circuits and Systems

DOI

ISSN

0271-4310

Publication Date

July 29, 2016

Volume

2016-July

Start / End Page

1326 / 1329