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Robust Machine Learning Systems: Challenges,Current Trends, Perspectives, and the Road Ahead
- Title
- Robust Machine Learning Systems: Challenges,Current Trends, Perspectives, and the Road Ahead
- Author
- 최정욱
- Keywords
- Training data; Artificial neural networks; Reliability; Smart devices; Hardware; Machine learning
- Issue Date
- 2020-04
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Citation
- IEEE DESIGN & TEST, v. 37, no. 2, page. 30-57
- Abstract
- Currently, machine learning (ML) techniques are at the heart of smart cyber-physical systems (CPS) and Internet-of-Things (IoT). This article discusses various challenges and probable solutions for security attacks on these ML-inspired hardware and software techniques. -Partha Pratim Pande, Washington State University
- URI
- https://ieeexplore.ieee.org/document/8979377https://repository.hanyang.ac.kr/handle/20.500.11754/166153
- ISSN
- 2168-2356; 2168-2364
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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