Work

Towards a robust and trustworthy machine learning system development: An engineering perspective

Year: 2022

Type: article

Source: Journal of Information Security and Applications

DOI: 10.1016/j.jisa.2022.103121

Authors: Pulei Xiong, Scott Buffett, Shahrear Iqbal, Philippe Lamontagne, Mohammad Mamun, Heather Molyneaux

Institution: National Research Council Canada

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4211223593

FWCI: 1.941

Cites: 187

Cited by: 36

Related to: 10