ML-On-Rails: Safeguarding Machine Learning Models in Software Systems — A Case Study-Reference-Cited by-同舟云学术

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ML-On-Rails: Safeguarding Machine Learning Models in Software Systems — A Case Study

Published:2024-04-14 Issue: Volume:1 Page:178-183
ISSN:
Container-title:Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI
language:
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Author:

Abdelkader Hala¹^ORCID,Abdelrazek Mohamed¹^ORCID,Barnett Scott¹^ORCID,Schneider Jean-Guy²^ORCID,Rani Priya³^ORCID,Vasa Rajesh¹^ORCID

Affiliation:

1. Applied Artificial Intelligence Institute, Deakin University, Victoria, Australia

2. Monash University, Melbourne, Australia

3. RMIT University, Melbourne, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3644815.3644958

Reference49 articles.

1. [n.d.]. Adversarial Machine Learning. https://ibm.co/36fhajg [Online]. Accessed on 2023-11-19.

2. [n. d.]. Responsible AI Practices. https://ai.google/responsibilities/responsible-ai-practices/?category=security [Online]. Accessed on 2023-11-19.

3. [n.d.]. Securing the Future of AI and ML at Microsoft. https://docs.microsoft.com/en-us/security/securing-artificial-intelligence-machine-learning [Online]. Accessed on 2023-11-19.

4. [n.d.]. Status codes in HTTP. https://www.iana.org/assignments/http-status-codes/http-status-codes.xhtml Accessed on 2023-08-08.

5. Ahmed Abobakr, Hala Abdelkader, Julie Iskander, Darius Nahavandi, Khaled Saleh, Mohamed Attia, Mohammed Hossny, and Saeid Nahavandi. 2019. SSDPose: A Single Shot Deep Pose Estimation and Analysis. In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 1862--1868.

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