Results 71 to 80 of about 196,760 (255)
Privacy preserving distributed optimization using homomorphic encryption
, 2018 This paper studies how a system operator and a set of agents securely execute a distributed projected gradient-based algorithm. In particular, each participant holds a set of problem coefficients and/or states whose values are private to the data owner ...
Lu, Yang, Zhu, Minghui
core +1 more source
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
Conditionals in Homomorphic Encryption and Machine Learning Applications [PDF]
, 2018 Homomorphic encryption aims at allowing computations on encrypted data without decryption other than that of the final result. This could provide an elegant solution to the issue of privacy preservation in data-based applications, such as those using ...
Chialva, Diego, Dooms, Ann
core +1 more source
Sustainable Development, EarlyView.ABSTRACT Global municipal solid waste generation is projected to exceed 3.8 billion tonnes annually by 2050. This makes the need for smart, inclusive, and scalable waste valorization systems more urgent than ever. This review critically explores the shift from conventional waste management to intelligent, technology‐driven solutions aligned with ...
Segun E. Ibitoye +8 more
wiley +1 more source
Survey on Fully Homomorphic Encryption, Theory, and Applications
Proceedings of the IEEE, 2022 Data privacy concerns are increasing significantly in the context of the Internet of Things, cloud services, edge computing, artificial intelligence applications, and other applications enabled by next-generation networks.
Chiara Marcolla +5 more
semanticscholar +1 more source
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
, 2022 AbstractIn 1978, Rivest et al. (1978) proposed the concepts of data bank and fully homomorphic encryption. Some individuals and organizations encrypt the original data and store them in the data bank for privacy protection. Data bank is also called data cloud. Therefore, the cloud stores a large amount of original data, which is obviously a huge wealth.
Zhiyong Zheng, Kun Tian, Fengxia Liu
openaire +1 more source
Privacy-Preserving Gaussian Process Regression -- A Modular Approach to\n the Application of Homomorphic Encryption [PDF]
, 2020 Peter J. Fenner, Edward O. Pyzer‐Knapp
openalex +2 more sources
Privacy-Preserving Collective Learning With Homomorphic Encryption [PDF]
, 2021 Jestine Paul +5 more
openalex +1 more source
Encrypted data processing with Homomorphic Re-Encryption
Information Sciences, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ding, Wenxiu +3 more
openaire +3 more sources