metrics: consistent methods for measuring privacy, behavioral traces, what are the connections of privacy of
laurie:
?foundations of privacy
set it up as principles
human aspects
reasoning about uses of traces
models for reasoning about privacy
metrics
metrics
Munindar singh:
health care data
new work on governance
unification and synthesis
don't call it science of privacy
problems of governance, analytics
problem: collect everything. BAD!
incremental learning to check for policy violations that watch traces and metrics.
collect more data they can ever use.
define research questions before
All + extra [Perspectives] Develop models of human perspectives and perceptions of privacy and trust, especially as they are modulated by social, cultural, and contextual factors
Munindar [Governance] Develop principles of information governance that incorporate accountability for information storage and disclosure in one or more interacting jurisdictions, supporting both individual needs and institutional policies
JESSICA [Traces] Develop models and methods for reasoning about users’ digital traces to understand tradeoffs between traceability and provenance of information, and anonymity
TIMM [Inference] Develop models and methods for reasoning about (1) the privacy implications of inferences from available information; and (2) how to control such inferences
Laurie [Metrics] Develop metrics and models for privacy for predicting privacy needs, threats, and guarantees from individual, institutional, and legal perspectives
RQ [G/T]: How can we design and analyze sociotechnical systems for privacy?
RQ [M/P/T]: How can we formulate and analyze privacy-utility tradeoffs, in context?
RQ [G/P/T]: What sanctioning and other regimes would optimize on those tradeoffs?
RQ [G/M/T]: How can we characterize, predict, and obstruct insider threats?
text: http://www.nsf.gov/pubs/2015/nsf15575/nsf15575.htm
jessica:
laurie:
Munindar singh:
problem: collect everything. BAD!
incremental learning to check for policy violations that watch traces and metrics.
All + extra [Perspectives] Develop models of human perspectives and perceptions of privacy and trust, especially as they are modulated by social, cultural, and contextual factors Munindar [Governance] Develop principles of information governance that incorporate accountability for information storage and disclosure in one or more interacting jurisdictions, supporting both individual needs and institutional policies JESSICA [Traces] Develop models and methods for reasoning about users’ digital traces to understand tradeoffs between traceability and provenance of information, and anonymity TIMM [Inference] Develop models and methods for reasoning about (1) the privacy implications of inferences from available information; and (2) how to control such inferences Laurie [Metrics] Develop metrics and models for privacy for predicting privacy needs, threats, and guarantees from individual, institutional, and legal perspectives RQ [G/T]: How can we design and analyze sociotechnical systems for privacy? RQ [M/P/T]: How can we formulate and analyze privacy-utility tradeoffs, in context? RQ [G/P/T]: What sanctioning and other regimes would optimize on those tradeoffs? RQ [G/M/T]: How can we characterize, predict, and obstruct insider threats?