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» Privacy and Contextual Integrity: Framework and Applications
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SEC
2008
13 years 7 months ago
Hiding in Groups: On the Expressiveness of Privacy Distributions
Many applications inherently disclose information because perfect privacy protection is prohibitively expensive. RFID tags, for example, cannot be equipped with the cryptographic p...
Karsten Nohl, David Evans
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
14 years 6 months ago
When do data mining results violate privacy?
Privacy-preserving data mining has concentrated on obtaining valid results when the input data is private. An extreme example is Secure Multiparty Computation-based methods, where...
Murat Kantarcioglu, Jiashun Jin, Chris Clifton
EUSAI
2007
Springer
14 years 13 days ago
Evaluating Confidence in Context for Context-Aware Security
We propose a software framework that augments context data with a range of assorted confidence/reputation metadata for dimensions such as security, privacy, safety, reliability, or...
Marc Lacoste, Gilles Privat, Fano Ramparany
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
13 years 11 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
TRUSTBUS
2010
Springer
13 years 4 months ago
Privacy Policy Referencing
Data protection legislation was originally defined for a context where personal information is mostly stored on centralized servers with limited connectivity or openness to 3rd pa...
Audun Jøsang, Lothar Fritsch, Tobias Mahler