Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security
<p dir="ltr">With the advances in machine learning (ML) and deep learning (DL) techniques, and the potency of cloud computing in offering services efficiently and cost-effectively, Machine Learning as a Service (MLaaS) cloud platforms have become popular. In addition, there is increa...
محفوظ في:
| المؤلف الرئيسي: | Adnan Qayyum (16875936) (author) |
|---|---|
| مؤلفون آخرون: | Aneeqa Ijaz (18949486) (author), Muhammad Usama (3629090) (author), Waleed Iqbal (10294253) (author), Junaid Qadir (16494902) (author), Yehia Elkhatib (566867) (author), Ala Al-Fuqaha (4434340) (author) |
| منشور في: |
2020
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey
حسب: Faria Nawshin (21841598)
منشور في: (2024) -
Secure and Robust Machine Learning for Healthcare: A Survey
حسب: Adnan Qayyum (16875936)
منشور في: (2020) -
O-Cloud Security: A Comprehensive Survey of Threats, Mitigation Strategies, and Future Directions
حسب: Muhammad J. Shehab (16905174)
منشور في: (2025) -
Enhancing Security and Performance in Live VM Migration: A Machine Learning‐Driven Framework With Selective Encryption for Enhanced Security and Performance in Cloud Computing Environments
حسب: Raseena M. Haris (17773470)
منشور في: (2025) -
Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study
حسب: Muhammad Atif Butt (10849980)
منشور في: (2023)