Name
Title | ||
|---|---|---|
Robust Machine Learning Systems: Challenges,Current Trends, Perspectives, and the Road Ahead |
Abstract | ||
|---|---|---|
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Editor’s note:</italic>
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 |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/MDAT.2020.2971217 | IEEE Design & Test |
Keywords | DocType | Volume |
Training,Artificial neural networks,Reliability,Security,Hardware,Machine learning | Journal | 37 |
Issue | ISSN | Citations |
2 | 2168-2356 | 7 |
PageRank | References | Authors |
0.52 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Shafique | 1 | 1945 | 157.67 |
| Mahum Naseer | 2 | 7 | 0.52 |
| Theocharis Theocharides | 3 | 205 | 26.83 |
| Christos Kyrkou | 4 | 102 | 14.05 |
| Onur Mutlu | 5 | 9446 | 357.40 |
| Lois Orosa | 6 | 72 | 5.27 |
| Choi, J. | 7 | 52 | 5.23 |