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"Attribute-hiding fuzzy encryption for privacy-preserving data evaluati" by Zhenhua Chen, Luqi Huang et al.

Privacy-preserving data evaluation is one of the prominent research topics in the big data era. In many data evaluation applications that involve sensitive information, such as the medical records of patients in a medical system, protecting data privacy during the data evaluation process has become an essential requirement. Aiming at solving this problem, numerous fuzzy encryption systems for different similarity metrics have been proposed in literature. Unfortunately, the existing fuzzy encryption systems either fail to achieve attribute-hiding or achieve it, but are impractical. In this paper, we propose a new fuzzy encryption scheme for privacy-preserving data evaluation based on overlap distance, which can work in an integer domain while achieving attribute-hiding. In particular, we develop a novel approach to enable an accurate overlap distance to be fast calculated. This technique makes the number of pairing operations during decryption stage negative correlation with the size of ....

Attribute Hiding , Data Evaluation , Uzzy Encryption , Amming Distances , Medical Diagnostic Imaging , Verlap Distance , Redicate Encryption ,

Profile: Devi Sridhar, the pandemic professor

Professor Devi Sridhar takes the chair at the UK Covid Inquiry on Tuesday, the latest in a series of expert witnesses discussing Scotland’s… ....

United States , University Of Miami , United Kingdom , Humza Yousaf , Boris Johnson , Nicola Sturgeon , Edinburgh Sridhar , Devi Sridhar , University Of Edinburgh , Health Industry , Royal Society , World Economic Forum , Wolfson College , Centre On Global Health , University Of Oxford , Global Agenda Council , Souls College , Divi Sridhar , Global Public Health , Scottish Government , United Kingdom Covid , Data Evaluation , Viral Epidemics , Associate Fellow , Chatham House , Global Health ,

Beyond the Number: Why Human Expertise is Crucial in Data Evaluation

In this article, we talk about why human expertise is crucial in data evaluation. We go through three big reasons we still need living. ....

United States , Human Expertise , Data Evaluation , Two Story ,

Proposed Mental Health Parity and Addiction Equity Act Rules Clarify Technical Compliance Requirements, But Practical Challenges Remain | Troutman Pepper

On July 25, the Departments of Labor, Health and Human Services, and the Treasury (Departments) jointly issued highly anticipated guidance on mental health and substance use disorder. ....

Paul Wellstone , Health Plan , Pete Domenici Mental Health Parity , Human Services , Mental Health Parity , Service Providers , Ca Health Plan , A Department , Addiction Equity Act , Proposed Rules , Health Plans , Frequently Asked Questions , Autism Spectrum , More Restrictive , Application Requirement , Data Evaluation , Relevant Data Evaluation , Plan Sponsors ,

Mental Health Parody: In A Cruel Prank, Agencies Respond to Employer Pleas for Guidance with More Stringent Regulations | Seyfarth Shaw LLP

Seyfarth Synopsis: The Mental Health Parity and Addiction Equity Act (MHPAEA) requires group health plans and insurers to cover treatments for mental health and substance use disorders. ....

Departments Of The Treasury Department , Third Party Administrator , Mental Health Parity , Nqtls Related To Network Composition , Human Services , Seyfarth Synopsis , Addiction Equity Act , Proposed Regulations , Material Differences Based , Data Evaluation , Party Administrator ,