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Confidential Computing Across Edge‐To‐Cloud for Machine Learning: A Survey Study
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Outgoing claims: the papers this work cites, builds on, or argues with.
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inferredcites →https://doi.org/10.1109/icoin.2015.7057954openalex-snapshot
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inferredcites →https://doi.org/10.1109/iotdi.2018.00023openalex-snapshot
LogSafe: Secure and Scalable Data Logger for IoT Devices
inferredcites →https://doi.org/10.1109/iscc.2018.8538590openalex-snapshot
Achieving Data Dissemination with Security using FIWARE and Intel Software Guard Extensions (SGX)
inferredcites →https://doi.org/10.1109/jiot.2020.2986015openalex-snapshot
Intelligent Cooperative Edge Computing in Internet of Things
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Securing Serverless Computing: Challenges, Solutions, and Opportunities
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inferredcites →https://doi.org/10.1109/secpri.1997.601317openalex-snapshot
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VC3: Trustworthy Data Analytics in the Cloud Using SGX
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Trusted Execution Environment: What It is, and What It is Not
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Using ARM trustzone to build a trusted language runtime for mobile applications
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Proceedings of the 5th ACM Conference on Data and Application Security and Privacy
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Proceedings of the Hardware and Architectural Support for Security and Privacy 2016
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Proceedings of the 7th International Workshop on Hardware and Architectural Support for Security and Privacy
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A comparison study of intel SGX and AMD memory encryption technology
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The 25th Annual International Conference on Mobile Computing and Networking
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2021 Australasian Computer Science Week Multiconference
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Serverless Edge Computing: Vision and Challenges
inferredcites →https://doi.org/10.1145/3456631openalex-snapshot
Security Vulnerabilities of SGX and Countermeasures
inferredcites →https://doi.org/10.1145/3472634.3472652openalex-snapshot
Trusted-DNN: A TrustZone-based Adaptive Isolation Strategy for Deep Neural Networks
inferredcites →https://doi.org/10.1145/3591215openalex-snapshot
Standards to Secure the Sensors That Power IoT
inferredcites →https://doi.org/10.1613/jair.1.14649openalex-snapshot
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy
inferredcites →https://doi.org/10.2197/ipsjtrans.5.47openalex-snapshot
Integrated Scheduling for a Reliable Dual-OS Monitor
inferredcites →https://doi.org/10.26599/tst.2021.9010088openalex-snapshot
ETS-TEE: An Energy-Efficient Task Scheduling Strategy in a Mobile Trusted Computing Environment
inferredcites →https://doi.org/10.3390/math11020330openalex-snapshot
Adaptive Differential Privacy Mechanism Based on Entropy Theory for Preserving Deep Neural Networks
inferredcites →https://doi.org/10.3390/s22145274openalex-snapshot
Blockchain for Modern Applications: A Survey
inferredcites →https://doi.org/10.46586/tches.v2022.i1.28-68openalex-snapshot
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inferredcites →https://doi.org/10.46586/tches.v2025.i1.420-449openalex-snapshot
Dash: Accelerating Distributed Private Convolutional Neural Network Inference with Arithmetic Garbled Circuits
inferredcites →https://doi.org/10.48550/arxiv.1803.05961openalex-snapshot
Chiron: Privacy-preserving Machine Learning as a Service
inferredcites →https://doi.org/10.48550/arxiv.2104.03152openalex-snapshot
TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption
inferredcites →https://doi.org/10.48550/arxiv.2301.00928openalex-snapshot
AI-Driven Confidential Computing across Edge-to-Cloud Continuum
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-96590-6_12openalex-snapshot
Trusted Platform and Privacy Management in Cyber Physical Systems: The DUCA Framework
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DynaHyEdge: Fine-Grained Privacy-Aware Online Scheduling for Hybrid Edge Services
inferred← citeshttps://doi.org/10.1007/s44443-026-00781-9openalex-snapshot
A hybrid deep learning and knowledge graph framework for automated safety requirement inference: Combining BERTopic, RoBERTa, and graph-based reasoning
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Dynamic secret sharing for enhanced cloud security: Tackling eavesdropping and threshold attacks
inferred← citeshttps://doi.org/10.1038/s41598-026-44843-4openalex-snapshot
Optimization of cross-institutional medical federated learning framework driven by confidential computing
inferred← citeshttps://doi.org/10.1109/acdsa67686.2026.11467588openalex-snapshot
Assessing Cybersecurity Risks of Cloud Adoption in Defense: Safeguarding Top Secret Data Assets
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Lightweight Large-Model Inference with Privacy Protection for Edge IoT Systems
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AI Meets Quantum Blockchain: A New Era of Tamper-Proof CCTV Data Logging
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Enhancing Efficiency and Empowering Institutions: Leveraging Wireless Sensor Devices, IoT Edge Computing, and Fog Computing in Educational Systems
inferred← citeshttps://doi.org/10.1109/icdsns65743.2025.11168641openalex-snapshot
Enhancing Data Privacy and Security in Heterogeneous Edge-to-Cloud Frameworks: Utilizing Confidential Computing for Secure Distributed Processing in Decentralized Networks
inferred← citeshttps://doi.org/10.1109/icic68054.2025.11309424openalex-snapshot
Evaluation of Polynomial-Based Approximate S-Box for AES under Paillier Partial Homomorphic Constraints
inferred← citeshttps://doi.org/10.1109/icoiics67115.2025.11390077openalex-snapshot
Enhanced Zero Trust Model for Cloud-Native Microservices Using Gradient Boosting Algorithm
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Research on Reinforcement Learning Containerization Method Based on RISC-V Architecture
inferred← citeshttps://doi.org/10.1109/icwoc70101.2026.11636862openalex-snapshot
Dynamic Sharding and Adaptive Concurrency for Large Scale Encrypted File Sharing in Decentralized Cross Chain Storage
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A Survey on Security and Privacy of Industry 4.0 and Beyond: Technical Aspects, Use Cases, Challenges, and Research Directions
inferred← citeshttps://doi.org/10.1109/satc69565.2026.11542295openalex-snapshot
Neural Representation Learning and Privacy-preserving Cloud-Edge Collaboration for Next-Generation Financial Wealth Management Platforms
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Characterizing Trust Boundary Vulnerabilities in TEE Container Systems: An Empirical Study
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Examining the use of Jamovi in learning statistics: Students’ perception
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Hybrid Architecture for Protected Data Communication Inside the Private Cloud
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Cloud Trust Models for Secure Healthcare IoT
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Confidential Computing Architectures for Enhanced Data Security in Cloud Environments
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