EDITORIAL
Published on 06 Aug 2021
Editorial: Safe and Trustworthy Machine Learning
doi 10.3389/fdata.2021.731605
- 1,845 views
- Frontiers in Big Data
- Machine Learning and Artificial Intelligence
- Research Topics
- Safe and Trustworthy Machine Learning
Safe and Trustworthy Machine Learning
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Articles
METHODS
Published on 18 May 2021
Preventing Failures by Dataset Shift Detection in Safety-Critical Graph Applications
doi 10.3389/frai.2021.589632
- 1,605 views
- 2 citations
ORIGINAL RESEARCH
Published on 04 May 2021
MARGIN: Uncovering Deep Neural Networks Using Graph Signal Analysis
doi 10.3389/fdata.2021.589417
- 1,620 views
ORIGINAL RESEARCH
Published on 19 Mar 2021
Application of Seq2Seq Models on Code Correction
doi 10.3389/frai.2021.590215
- 3,473 views
- 6 citations
ORIGINAL RESEARCH
Published on 18 Feb 2021
Subgroup Invariant Perturbation for Unbiased Pre-Trained Model Prediction
doi 10.3389/fdata.2020.590296
- 2,508 views
- 10 citations
PERSPECTIVE
Published on 23 Nov 2020
Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities
doi 10.3389/fdata.2020.577974
- 22,244 views
- 55 citations
SYSTEMATIC REVIEW
Published on 12 Nov 2020
Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security
doi 10.3389/fdata.2020.587139
- 16,763 views
- 42 citations
REVIEW
Published on 22 Jul 2020
Vulnerabilities of Connectionist AI Applications: Evaluation and Defense
doi 10.3389/fdata.2020.00023
- 9,534 views
- 15 citations
Published in
Frontiers in Big Data
- Machine Learning and Artificial Intelligence
- Cybersecurity and Privacy
Participating Journals
Frontiers in Artificial Intelligence
- 3.0 impact factor
- 6.1 citescore
Impact
- 70kTopic views
- 54kArticle views
- 13kArticle downloads