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Convolutional neural network model over encrypted data based on functional encryption
Tongxin xuebaoCurrently, homomorphic encryption, secure multi-party computation, and other encryption schemes are used to protect the privacy of sensitive data in outsourced convolutional neural network (CNN) models.However, the computational and communication ...
Chen WANG, Jiarun LI, Jian XU
doaj +2 more sources
FEBS Letters, EarlyView.Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Functional Encryption: New Perspectives and Lower Bounds [PDF]
, 2012 Functional encryption is an emerging paradigm for public-key encryption that enables fine-grained control of access to encrypted data. In this work, we present new perspectives on security definitions for functional encryption, as well as new lower ...
Shweta Agrawal +3 more
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FEBS Letters, EarlyView.Drosophila park mutants serve as a model for Parkinson's disease. We used this strain to investigate the connection between oxidative stress and the circadian clock mechanism. We showed that increased oxidative stress affects the physiology of pacemaker cells, disrupting their daily structural plasticity. Lack of rhythmic signaling from pacemaker cells
Kamila Zientara +3 more
wiley +1 more source
Two Improved Homomorphic Techniques Used in Functional Encryption Schemes
MATEC Web of Conferences, 2018 In this paper, we analyze the key homomorphic technique used in constructions of functional encryption schemes and point out its weakness in efficiency.
Xu Chengbo, Yang Shuying
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FEBS Letters, EarlyView.Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
Multi-Functional Homomorphic Encryption Method Based on Crowd Sensing Networks
IEEE AccessIn response to the security and privacy issues associated with sensing devices in contemporary crowd sensing systems, the paper proposes a crowd sensing networks method based on the MFHE (the Multi-Functional Homomorphic Encryption) architecture.
Hui Chen +10 more
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Functional Encryption Without Obfuscation [PDF]
, 2015 Previously known functional encryption (FE) schemes for general circuits relied on indistinguishability obfuscation, which in turn either relies on an exponential number of assumptions (basically, one per circuit), or a polynomial set of assumptions, but with an exponential loss in the security reduction.
Sanjam Garg +3 more
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An Adaptively Secure Functional Encryption for Randomized Functions
The Computer Journal, 2020 Abstract Functional encryption (FE) can provide a fine-grained access control on the encrypted message. Therefore, it has been applied widely in security business. The previous works about functional encryptions most focused on the deterministic functions.
Muhua Liu, Ping Zhang 0028
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Security with Functional Re-Encryption from CPA [PDF]
, 2023 The notion of functional re-encryption security (funcCPA) for public-key encryption schemes was recently introduced by Akavia et al. (TCC\u2722), in the context of homomorphic encryption. This notion lies in between CPA security and CCA security: we give
Yevgeniy Dodis +2 more
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