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SoK Paper: Security Concerns in Quantum Machine Learning as a Service
Satwik Kundu
,
Swaroop Ghosh
Electrical Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
4
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Scopus citations
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Dive into the research topics of 'SoK Paper: Security Concerns in Quantum Machine Learning as a Service'. Together they form a unique fingerprint.
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Keyphrases
Security Concerns
100%
Quantum Machine Learning
100%
Machine Learning as a Service (MLaaS)
100%
Machine Learning Models
20%
Security Threats
10%
Security Issues
10%
Real-world Problems
10%
Hybrid Model
10%
Untrusted
10%
Training Data
10%
Data Encoding
10%
Critical Security
10%
Service Deployment
10%
Unauthorized Access
10%
Model Driven Architecture
10%
Quantum Computing
10%
Model Integrity
10%
Classical Computer
10%
Intellectual Property Theft
10%
Machine Learning Tasks
10%
Classical Computing
10%
Quantum Hardware
10%
Service Workflow
10%
Classical Machine Learning
10%
Computing Resources
10%
Limited Training Data
10%
Variational Quantum Circuits
10%
Computer Science
Security Concern
100%
Quantum Machine Learning
100%
Training Data
20%
Machine Learning Model
20%
Postprocessing
10%
Real-World Problem
10%
Computing Resource
10%
Preprocessing
10%
Quantum Circuit
10%
Quantum Computing
10%
Classical Computer
10%
Unauthorized Access
10%
Learning System
10%
Machine Learning
10%
Model Architecture
10%
Intellectual Property
10%