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Privacy-Preserving Outsourced Profiling

2010 IEEE 12th Conference on Commerce and Enterprise Computing, 2010
Personalized services attract high-value customers. Knowing the preferences and habits of an individual customer, it is possible to offer to that customer well customized and adapted services, matching his needs and desires. This is advantageous for the entity offering the service (e.g., a retailer) as well, as it helps in creating additional sales or ...
Debmalya Biswas   +2 more
openaire   +1 more source

Privacy-preserving fingercode authentication

Proceedings of the 12th ACM workshop on Multimedia and security, 2010
We present a privacy preserving protocol for fingerprint-based authentication. We consider a scenario where a client equipped with a fingerprint reader is interested into learning if the acquired fingerprint belongs to the database of authorized entities managed by a server.
Mauro Barni   +10 more
openaire   +2 more sources

Practical Secure Aggregation for Privacy-Preserving Machine Learning

IACR Cryptology ePrint Archive, 2017
Keith Bonawitz   +8 more
semanticscholar   +1 more source

SecureML: A System for Scalable Privacy-Preserving Machine Learning

IEEE Symposium on Security and Privacy, 2017
Payman Mohassel, Yupeng Zhang
semanticscholar   +1 more source

A Comprehensive Survey of Privacy-preserving Federated Learning

ACM Computing Surveys, 2022
Xuefei Yin, Yanming Zhu, Jiankun Hu
exaly  

Location Privacy-preserving Mechanisms in Location-based Services

ACM Computing Surveys, 2022
Hongbo Jiang, Ping Zhao, Fanzi Zeng
exaly  

Privacy-Preserving Deep Learning via Additively Homomorphic Encryption

IEEE Transactions on Information Forensics and Security, 2018
L. T. Phong   +4 more
semanticscholar   +1 more source

Privacy-Preserving Blueprints

2023
Markulf Kohlweiss   +2 more
openaire   +2 more sources

Survey on Privacy-Preserving Techniques for Microdata Publication

ACM Computing Surveys, 2023
Tania Carvalho   +2 more
exaly  

Privacy-preserving federated learning for residential short-term load forecasting

Applied Energy, 2022
Joaquin Delgado Fernández   +2 more
exaly  

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