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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
downstream machine learning models
biblio
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text
Submitted by grigby1 on Thu, 07/09/2020 - 1:58pm
privacy analysis
word representations
vast data stores
utility experiments highlight
user privacy
training machine learning models
text analysis
supporting data driven decisions
semantic generalization
Scalability
Resiliency
resilience
pubcrawl
proof satisfying dx-privacy
probability
privacy experiments
arbitrary piece
privacy
nonHamming distance metrics
learning (artificial intelligence)
Human Factors
Human behavior
high dimensional hyperbolic space
hierarchical representations
expected privacy
downstream machine learning models
document redaction
differential privacy
Data Sanitization
data privacy
data deletion
Compositionality
