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Towards a Robust and Trustworthy Machine Learning System Development: An
  Engineering Perspective
v1v2 (latest)

Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective

Journal of Information Security and Applications (JISA), 2021
8 January 2021
Pulei Xiong
Scott Buffett
Shahrear Iqbal
Philippe Lamontagne
M. Mamun
Heather Molyneaux
    OOD
ArXiv (abs)PDFHTML

Papers citing "Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective"

10 / 10 papers shown
Human-AI Interaction and User Satisfaction: Empirical Evidence from Online Reviews of AI Products
Human-AI Interaction and User Satisfaction: Empirical Evidence from Online Reviews of AI ProductsInternational Journal of Human-Computer Interaction (IJHCI), 2025
Stefan Pasch
Sun-Young Ha
170
3
0
23 Mar 2025
Overcoming Adversarial Attacks for Human-in-the-Loop Applications
Overcoming Adversarial Attacks for Human-in-the-Loop Applications
Ryan McCoppin
Marla Kennedy
P. Lukyanenko
Sean M. Kennedy
AAML
203
2
0
09 Jun 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion
  Detection
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion DetectionEuropean Symposium on Security and Privacy (Euro S&P), 2023
Giovanni Apruzzese
Pavel Laskov
J. Schneider
252
43
0
30 Apr 2023
fAIlureNotes: Supporting Designers in Understanding the Limits of AI
  Models for Computer Vision Tasks
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision TasksInternational Conference on Human Factors in Computing Systems (CHI), 2023
Steven Moore
Q. V. Liao
Hariharan Subramonyam
190
30
0
22 Feb 2023
A.I. Robustness: a Human-Centered Perspective on Technological
  Challenges and Opportunities
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and OpportunitiesACM Computing Surveys (ACM CSUR), 2022
Andrea Tocchetti
Lorenzo Corti
Agathe Balayn
Mireia Yurrita
Philip Lippmann
Marco Brambilla
Jie Yang
325
26
0
17 Oct 2022
Towards a multi-stakeholder value-based assessment framework for
  algorithmic systems
Towards a multi-stakeholder value-based assessment framework for algorithmic systemsConference on Fairness, Accountability and Transparency (FAccT), 2022
Mireia Yurrita
Dave Murray-Rust
Agathe Balayn
A. Bozzon
MLAU
272
36
0
09 May 2022
Security for Machine Learning-based Software Systems: a survey of
  threats, practices and challenges
Security for Machine Learning-based Software Systems: a survey of threats, practices and challengesACM Computing Surveys (ACM CSUR), 2022
Huaming Chen
Muhammad Ali Babar
AAML
305
33
0
12 Jan 2022
Machine Learning for Security in Vehicular Networks: A Comprehensive
  Survey
Machine Learning for Security in Vehicular Networks: A Comprehensive SurveyIEEE Communications Surveys and Tutorials (COMST), 2021
Anum Talpur
M. Gurusamy
327
80
0
31 May 2021
An Interpretable Graph-based Mapping of Trustworthy Machine Learning
  Research
An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research
N. Derzsy
Subhabrata Majumdar
Rajat Malik
182
1
0
13 May 2021
Adversarial Examples on Object Recognition: A Comprehensive Survey
Adversarial Examples on Object Recognition: A Comprehensive SurveyACM Computing Surveys (ACM CSUR), 2020
A. Serban
E. Poll
Joost Visser
AAML
417
80
0
07 Aug 2020
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