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"Privacy Preserving Generative Mechanism For Industrial Time-Series Data Disclosure" in Patent Application Approval Process (USPTO 20230281427): Tata Consultancy Services Limited - Insurance News

"Privacy Preserving Generative Mechanism For Industrial Time-Series Data Disclosure" in Patent Application Approval Process (USPTO 20230281427): Tata Consultancy Services Limited - Insurance News
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United States , Tata Consultancy Services , European Commission , Us Health Insurance Portability , Insurance Daily , Reporter Staff News Editor , Consultancy Services Limited , Artificial Intelligence , General Data Protection Regulation , Insurance Portability , Accountability Act , California Consumer Privacy Law , Homomorphic Encryption , Secure Multi Party Computation , Differential Privacy , Information Theoretic Privacy , Application Number ,

"Efficient and privacy-preserving online diagnosis scheme based on fede" by Gang Shen, Zhiqiang Fu et al.

Electronic healthcare (e-healthcare) system has brought great convenience for people to seek medical treatment. However, data security, user privacy and online diagnosis efficiency have also aroused widespread public concern. In this paper, we propose an efficient and privacy-preserving online diagnosis scheme for e-healthcare system based on federated learning mechanism (FLM). Specifically, we first transform the data owner's data sharing problem into machine learning problem through using FLM. By sharing calculated local model parameters instead of actual data, the privacy of training data sets can be well protected. Then, we use a homomorphic cryptosystem and the support vector machine (SVM) algorithm to classify patients' physiological data efficiently without leaking their privacy. Furthermore, we design a novel approach to recover decision function of SVM model, which can efficiently prevent model parameters from leaking. Security analysis shows that the proposed scheme ....

Data Sharing , The Healthcare System , Federated Learning , Homomorphic Encryption , Privacy Preservation ,

Confidential Computing Market to cross $52 Bn by 2032, Says

Major confidential computing market participants include Amazon Web Services, Anjuna Security, Cyxtera Technologies, Fortanix, Huawei Technologies Co.,. ....

United States , Cloud Professional Services Market , Devices Inc , Arm Holdings , Vmware Inc , Huawei Technologies Co Ltd , Samsung Electronics Co , Intel Corporation , Amazon Web Services , Microsoft Corporation , Application Development , General Data Protection Regulation , California Consumer Privacy Act , Confidential Computing Market , Trusted Execution Environments , Confidential Computing , Anjuna Security , Cyxtera Technologies , Super Protocol , Advanced Micro Devices , Computing Market News , Samsung Electronics , Advanced Micro Devices Inc , Total Addressable Market , Market Industry , Artificial Intelligence ,

Decoding 5 Crypto Acronyms: MPC, ZK, FHE, TEE & HSM

Learn about Multi Party Computation (MPC), Zero Knowledge (ZK), Fully Homomorphic Encryption (FHE), Trusted Execution Environment (TEE) and Hardware Security Module (HSM) ....

Lior Lamesh , Ouriel Ohayon , Eli Ben Sasson , Ittai Abraham , Software Guard Extensions , Multi Party Computation , Zero Knowledge , Fully Homomorphic Encryption , Trusted Execution Environment , Hardware Security Module , Party Computation , Homomorphic Encryption , Guy Itzhaki , Execution Environment , Security Module ,

Global, Multi-Region Identity and Access Management

Learn how Ory built a multi-region identity and access platform called Ory Network.
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United States , Edward Snowden , Ory Network Stack , Cory Network , European Union , Google Cloud Platform , Black Friday , Harbor Agreement , Safe Harbor , Privacy Shield , Privacy Framework , Homomorphic Encryption , Level Encryption , Personal Data , Google Cloud Spanner , Cockroach Labs , Global Tables , Token Validation , Session Validation , Ory Identity , Personally Identifiable Information ,