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Shredder : Learning Noise Distributions to Protect Infer..:

, In: Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems,

Mireshghallah, Fatemehsadat ; Taram, Mohammadkazem ; Ramrakhyani, Prakash... - p. 3-18 , 2020

Link: https://dl.acm.org/doi/10.1145/3373376.3378522

RT 
T1 <cTitle>Proceedings of the Twenty-Fifth International Conference on Architectural Support for Programming Languages and Operating Systems</cTitle>: T1 <Title>Shredder				: Learning Noise Distributions to Protect Inference Privacy</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3378522&Exemplar=1&LAN=DE
				
A1 Mireshghallah, Fatemehsadat
A1 Taram, Mohammadkazem
A1 Ramrakhyani, Prakash
A1 Jalali, Ali
A1 Tullsen, Dean
A1 Esmaeilzadeh, Hadi
PB ACM
YR 2020
K1 cloud computing
K1 deep learning
K1 edge computing
K1 inference
K1 neural networks
K1 noise
K1 privacy
K1 Security and privacy
K1 Human and societal aspects of security and privacy
K1 Privacy protections
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Mathematical optimization
K1 Continuous optimization
K1 Nonconvex optimization
K1 Computer systems organization
K1 Embedded and cyber-physical systems
K1 Embedded systems
K1 Networks
K1 Network services
K1 Cloud computing
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
SP 3
OP 18
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3373376.3378522
DO https://dl.acm.org/doi/10.1145/3373376.3378522
SF ELIB - SuUB Bremen

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