Fan et al., 2023 - Google Patents
Privacy-preserving deep learning on big data in cloudFan et al., 2023
- Document ID
- 4893504937835394161
- Author
- Fan Y
- Zhang W
- Bai J
- Lei X
- Li K
- Publication year
- Publication venue
- China Communications
External Links
Snippet
In the analysis of big data, deep learning is a crucial technique. Big data analysis tasks are typically carried out on the cloud since it offers strong computer capabilities and storage areas. Nevertheless, there is a contradiction between the open nature of the cloud and the …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
- G06F21/6254—Protecting personal data, e.g. for financial or medical purposes by anonymising data, e.g. decorrelating personal data from the owner's identification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/04—Inference methods or devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
- G06N5/02—Knowledge representation
- G06N5/022—Knowledge engineering, knowledge acquisition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communication
- H04L9/08—Key distribution or management, e.g. generation, sharing or updating, of cryptographic keys or passwords
- H04L9/0816—Key establishment, i.e. cryptographic processes or cryptographic protocols whereby a shared secret becomes available to two or more parties, for subsequent use
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Al Badawi et al. | Privft: Private and fast text classification with homomorphic encryption | |
Liu et al. | Vertical federated learning: Concepts, advances, and challenges | |
Yang et al. | A comprehensive survey on secure outsourced computation and its applications | |
Lou et al. | Glyph: Fast and accurately training deep neural networks on encrypted data | |
Zhang et al. | Achieving efficient and privacy-preserving neural network training and prediction in cloud environments | |
Fan et al. | Privacy-preserving deep learning on big data in cloud | |
Liu et al. | Intelligent and secure content-based image retrieval for mobile users | |
Riazi et al. | Deep learning on private data | |
Zhang et al. | Privacy-preserving deep learning based on multiparty secure computation: A survey | |
Hassan et al. | Secure content based image retrieval for mobile users with deep neural networks in the cloud | |
Li et al. | Privacy-preserving classification of personal data with fully homomorphic encryption: an application to high-quality ionospheric data prediction | |
Zhou et al. | Deep binarized convolutional neural network inferences over encrypted data | |
Chauhan et al. | A survey on privacy-preserving outsourced data on cloud with multiple data providers | |
Sav et al. | Privacy-preserving federated recurrent neural networks | |
Wang et al. | Quantum color image encryption scheme based on 3D non-equilateral Arnold transform and 3D logistic chaotic map | |
Ameur et al. | Application of homomorphic encryption in machine learning | |
CN117439731B (en) | Privacy protection big data principal component analysis method and system based on homomorphic encryption | |
Nocker et al. | HE-MAN–Homomorphically Encrypted MAchine learning with oNnx models | |
Yuan et al. | A training scheme of deep neural networks on encrypted data | |
Huang et al. | SecBERT: Privacy-preserving pre-training based neural network inference system | |
Zheng et al. | Efficient Online and Privacy-preserving Medical Pre-diagnosis Based on Growing Learning Vector Quantization | |
Wang et al. | A privacy-preserving classifier in statistic pattern recognition | |
CN116663064B (en) | Privacy protection neural network prediction method and system | |
Yuan et al. | Privacy-preserving deep learning models for law big data feature learning | |
Yang et al. | Privacy prediction of lightweight convolutional neural network |