A compressive privacy approach to generalized information bottleneck and privacy funnel problems

DOI10.1016/j.jfranklin.2017.07.002zbMath1396.94106OpenAlexW2735852363MaRDI QIDQ1661460

Y. Aharonov

Publication date: 16 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.07.002

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Learning and adaptive systems in artificial intelligence (68T05) Authentication, digital signatures and secret sharing (94A62)

Related Items (1)

Distributed differentially private average consensus for multi-agent networks by additive functional Laplace noise

Cites Work

• Our Data, Ourselves: Privacy Via Distributed Noise Generation
• Kernel Methods and Machine Learning
• Fully homomorphic encryption using ideal lattices
• Unnamed Item

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