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Security Engineering for Machine Learning

  • Computer
  • IEEE Computer Society
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Abstract

Artificial intelligence is in the midst of a popular resurgence in the guise of machine learning (ML). Neural networks and deep learning architectures have been shown empirically to solve many real-world problems. We ask what kinds of risks ML systems pose in terms of security engineering and software security.

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Publication details

DOI
10.1109/mc.2019.2909955
OpenAlex
W2965751961
Document type
article
Language
EN
Source
Computer
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