Results 31 to 40 of about 1,487,229 (359)

Privacy-Preserving Federated Deep Learning With Irregular Users

open access: yesIEEE Transactions on Dependable and Secure Computing, 2022
Federated deep learning has been widely used in various fields. To protect data privacy, many privacy-preservingapproaches have been designed and implemented in various scenarios.
Guowen Xu   +5 more
semanticscholar   +1 more source

Privacy-preserving distributed collaborative filtering [PDF]

open access: yesComputing, 2014
We propose a new mechanism to preserve privacy while leveraging user profiles in distributed recommender systems. Our mechanism relies on (i) an original obfuscation scheme to hide the exact profiles of users without significantly decreasing their utility, as well as on (ii) a randomized dissemination protocol ensuring differential privacy during the ...
Boutet, Antoine   +4 more
openaire   +13 more sources

ZOCB and ZOTR: Tweakable Blockcipher Modes for Authenticated Encryption with Full Absorption

open access: yesIACR Transactions on Symmetric Cryptology, 2019
We define ZOCB and ZOTR for nonce-based authenticated encryption with associated data, and analyze their provable security. These schemes use a tweakable blockcipher (TBC) as the underlying primitive, and fully utilize its input to process a plaintext ...
Zhenzhen Bao   +2 more
doaj   +1 more source

Privacy Preserving Data Mining

open access: yesAdvances in Information Security, 2015
Recent interest in data collection and monitoring using data mining for security and business-related applications has raised privacy. Privacy Preserving Data Mining (PPDM) techniques require data modification to disinfect them from sensitive information
J. Vaidya, Yu Zhu, C. Clifton
semanticscholar   +1 more source

Privacy Preserving Machine Learning with Homomorphic Encryption and Federated Learning

open access: yesFuture Internet, 2021
Privacy protection has been an important concern with the great success of machine learning. In this paper, it proposes a multi-party privacy preserving machine learning framework, named PFMLP, based on partially homomorphic encryption and federated ...
H. Fang, Q. Qian
semanticscholar   +1 more source

Privacy-Preserving Data Mashup [PDF]

open access: yes2011 IEEE International Conference on Advanced Information Networking and Applications, 2011
Data Mashup is a special class of mashup application that combines information on the fly from multiple data sources to respond to transient business needs. Mashing up data requires an important programming skill on the side of mashups' creators, and involves handling many challenging privacy and security concerns raised by data providers.
Barhamgi, Mahmoud   +3 more
openaire   +2 more sources

The Novel Location Privacy-Preserving CKD for Mobile Crowdsourcing Systems

open access: yesIEEE Access, 2018
With the development of mobile devices, mobile crowdsourcing has become the research hotspot in mobile crowd sensing networks (MCSS). How to protect the location privacy of mobile user in location-based services is a key problem in MCSS.
Zhongyang Chi   +3 more
doaj   +1 more source

Privacy-Preserving iVector-Based Speaker Verification [PDF]

open access: yes, 2019
This paper introduces an efficient algorithm to develop a privacy-preserving voice verification based on iVector and linear discriminant analysis techniques.
Lu, R.   +4 more
core   +1 more source

Obfuscation for Privacy-preserving Syntactic Parsing [PDF]

open access: yes, 2020
The goal of homomorphic encryption is to encrypt data such that another party can operate on it without being explicitly exposed to the content of the original data.
Cohen, Shay B.   +3 more
core   +2 more sources

Privacy-Preserving Portrait Matting [PDF]

open access: yesProceedings of the 29th ACM International Conference on Multimedia, 2021
Accepted to ACM Multimedia 2021, code and dataset available at https://github.com/JizhiziLi ...
Jing Zhang   +3 more
openaire   +2 more sources

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