Results 41 to 50 of about 1,678 (176)
Leakage Resilient Fully Homomorphic Encryption [PDF]
, 2014 We construct the first leakage resilient variants of fully homomorphic encryption (FHE) schemes. Our leakage model is bounded adaptive leakage resilience. We first construct a leakage-resilient leveled FHE scheme, meaning the scheme is homomorphic for all circuits of depth less than some pre-established maximum set at key generation.
Alexandra Berkoff, Feng-Hao Liu
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Initial State Privacy of Nonlinear Systems on Riemannian Manifolds
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT In this paper, we investigate initial state privacy protection for discrete‐time nonlinear closed systems. By capturing Riemannian geometric structures inherent in such privacy challenges, we refine the concept of differential privacy through the introduction of an initial state adjacency set based on Riemannian distances.
Le Liu, Yu Kawano, Antai Xie, Ming Cao
wiley +1 more source
HECO: Fully Homomorphic Encryption Compiler
, 2022 In recent years, Fully Homomorphic Encryption (FHE) has undergone several breakthroughs and advancements, leading to a leap in performance. Today, performance is no longer a major barrier to adoption. Instead, it is the complexity of developing an efficient FHE application that currently limits deploying FHE in practice and at scale.
Viand, Alexander +3 more
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Lifecycle‐Based Governance to Build Reliable Ethical AI Systems
Systems Research and Behavioral Science, EarlyView.ABSTRACT Artificial intelligence (AI) systems represent a paradigm shift in technological capabilities, offering transformative potential across industries while introducing novel governance and implementation challenges. This paper presents a comprehensive framework for understanding AI systems through three critical dimensions: trustworthiness ...
Maikel Leon
wiley +1 more source
Artificial Intelligence for Engineering, EarlyView.This paper proposes Block‐FairFL, a Trustworthy Federated Learning framework empowered by Blockchain, to address the dual challenges of security and fairness in deploying AI for industrial engineering. ABSTRACT The integration of artificial intelligence into the industrial Internet of Things is pivotal for predictive maintenance and autonomous control.
Hui Li
wiley +1 more source
FPGA-Based Hardware Accelerator for Leveled Ring-LWE Fully Homomorphic Encryption
IEEE Access, 2020 Fully homomorphic encryption (FHE) allows arbitrary computation on encrypted data and has great potential in privacy-preserving cloud computing and securely outsource computational tasks.
Yang Su +3 more
doaj +1 more source
Shift-Type Homomorphic Encryption and Its Application to Fully Homomorphic Encryption
, 2012 This work addresses the characterization of homomorphic encryption schemes both in terms of security and design. In particular, we are interested in currently existing fully homomorphic encryption (FHE) schemes and their common structures and security.
Armknecht, Frederik +2 more
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Improvised Version: Fully Homomorphic Encryption
International Journal of Computer Applications, 2016 Homomorphic encryption schemes are malleable by design. In the field of homomorphic encryption schemes have made it possible to implement a variety of schemes using different techniques and programming languages. In this paper, we choose the model to increase the efficiency and security.
Pallavi P, Avinash Navlani
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Multi-key Fully Homomorphic Encryption from Additive Homomorphism
The Computer Journal, 2021 Abstract Fully homomorphic encryption (FHE) allows direct computations over the encrypted data without access to the decryption. Hence multi-key FHE is well suitable for secure multiparty computation. Recently, Brakerski et al. (TCC 2019 and EUROCRYPT 2020) utilized additively homomorphic encryption to construct FHE schemes with ...
Wenju Xu +5 more
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CAAI Transactions on Intelligence Technology, EarlyView.Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source