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Mamba-fusion for privacy-preserving disease prediction. [PDF]
Sci RepJabbar MK, Jianjun H, Jabbar A, Bilal A.
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When Federated Learning Meets Privacy-Preserving Computation
ACM Computing SurveysNowadays, with the development of artificial intelligence (AI), privacy issues attract wide attention from society and individuals. It is desirable to make the data available but invisible, i.e., to realize data analysis and calculation without ...
Jingxue Chen, Hang Yan, Hu Xiong
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Privacy-preserving deep learning
2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2015Deep learning based on artificial neural networks is a very popular approach to modeling, classifying, and recognizing complex data such as images, speech, and text.
R. Shokri, Vitaly Shmatikov
semanticscholar +2 more sources
SSRN Electronic Journal, 2023
A signal is privacy‐preserving with respect to a collection of privacy sets if the posterior probability assigned to every privacy set remains unchanged conditional on any signal realization. We characterize the privacy‐preserving signals for arbitrary state space and arbitrary privacy sets.
Strack, Philipp, Yang, Kai Hao
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A signal is privacy‐preserving with respect to a collection of privacy sets if the posterior probability assigned to every privacy set remains unchanged conditional on any signal realization. We characterize the privacy‐preserving signals for arbitrary state space and arbitrary privacy sets.
Strack, Philipp, Yang, Kai Hao
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Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System
IEEE Transactions on Network Science and Engineering, 2023In this work, the federated learning mechanism is introduced into the deep learning of medical models in Internet of Things (IoT)-based healthcare system.
Li Zhang +4 more
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Privacy-Preserving Database Fingerprinting
Proceedings 2023 Network and Distributed System Security Symposium, 2023When sharing relational databases with other parties, in addition to providing high quality (utility) database to the recipients, a database owner also aims to have (i) privacy guarantees for the data entries and (ii) liability guarantees (via fingerprinting) in case of unauthorized redistribution.
Tianxi, Ji +4 more
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EPPDA: An Efficient Privacy-Preserving Data Aggregation Federated Learning Scheme
IEEE Transactions on Network Science and Engineering, 2023Federated learning (FL) is a kind of privacy-awaremachine learning, in which the machine learning models are trained on the users’ side and then the model updates are transmitted to the server for aggregating.
Jingcheng Song +4 more
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