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CORR
2010
Springer
86views Education» more  CORR 2010»
15 years 5 months ago
Secure Multiparty Computation with Partial Fairness
A protocol for computing a functionality is secure if an adversary in this protocol cannot cause more harm than in an ideal computation where parties give their inputs to a truste...
Amos Beimel, Eran Omri, Ilan Orlov
CVPR
2009
IEEE
17 years 1 months ago
A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis
The computer aided diagnosis (CAD) problems of detecting potentially diseased structures from medical images are typically distinguished by the following challenging characterist...
Dijia Wu (Rensselaer Polytechnic Institute), Jinbo...
ASIACRYPT
2011
Springer
14 years 6 months ago
The Leakage-Resilience Limit of a Computational Problem Is Equal to Its Unpredictability Entropy
A cryptographic assumption is the (unproven) mathematical statement that a certain computational problem (e.g. factoring integers) is computationally hard. The leakage-resilience l...
Divesh Aggarwal, Ueli Maurer
CRYPTO
2007
Springer
133views Cryptology» more  CRYPTO 2007»
16 years 18 days ago
On Secure Multi-party Computation in Black-Box Groups
Abstract. We study the natural problem of secure n-party computation (in the passive, computationally unbounded attack model) of the n-product function fG(x1, . . . , xn) = x1 · x...
Yvo Desmedt, Josef Pieprzyk, Ron Steinfeld, Huaxio...
CRYPTO
2006
Springer
149views Cryptology» more  CRYPTO 2006»
15 years 10 months ago
On Combining Privacy with Guaranteed Output Delivery in Secure Multiparty Computation
In the setting of multiparty computation, a set of parties wish to jointly compute a function of their inputs, while preserving security in the case that some subset of them are co...
Yuval Ishai, Eyal Kushilevitz, Yehuda Lindell, Ere...