Abstract | ||
---|---|---|
Adversarial attacks have exposed the unreliability of machine-learning (ML) models for decision making in autonomous agents. This article discusses recent research for ML model assurance in the face of adversarial attacks. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/MSEC.2018.2888779 | IEEE Security & Privacy |
Field | DocType | Volume |
Data modeling,Autonomous agent,Computer security,Computer science,Redundancy (engineering),Adversarial system | Journal | 17 |
Issue | ISSN | Citations |
2 | 1540-7993 | 3 |
PageRank | References | Authors |
0.45 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bita Darvish Rouhani | 1 | 99 | 13.53 |
Mohammad Samragh | 2 | 38 | 7.01 |
Tara Javidi | 3 | 806 | 78.83 |
Farinaz Koushanfar | 4 | 3055 | 268.84 |