article
Security Engineering for Machine Learning
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- الاستشهادات
- 27
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- 9
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Paper overview
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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