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» Deriving Private Information from Randomized Data
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POPL
2012
ACM
13 years 5 months ago
Probabilistic relational reasoning for differential privacy
Differential privacy is a notion of confidentiality that protects the privacy of individuals while allowing useful computations on their private data. Deriving differential priva...
Gilles Barthe, Boris Köpf, Federico Olmedo, S...
AIRS
2004
Springer
15 years 3 months ago
X-IOTA: An Open XML Framework for IR Experimentation
Carrying out experiments in Information Retrieval is a heavy activity requiring fast tools to treat collections of significant size, and at the same time flexible tools to leave...
Jean-Pierre Chevallet
ACMICEC
2003
ACM
172views ECommerce» more  ACMICEC 2003»
15 years 3 months ago
Automated mechanism design: complexity results stemming from the single-agent setting
The aggregation of conflicting preferences is a central problem in multiagent systems. The key difficulty is that the agents may report their preferences insincerely. Mechanism ...
Vincent Conitzer, Tuomas Sandholm
EDBT
2008
ACM
154views Database» more  EDBT 2008»
15 years 9 months ago
Data utility and privacy protection trade-off in k-anonymisation
K-anonymisation is an approach to protecting privacy contained within a dataset. A good k-anonymisation algorithm should anonymise a dataset in such a way that private information...
Grigorios Loukides, Jianhua Shao
TCBB
2011
14 years 4 months ago
Ensemble Learning with Active Example Selection for Imbalanced Biomedical Data Classification
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
Sangyoon Oh, Min Su Lee, Byoung-Tak Zhang