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» A Diagrammatical Framework for Information Systems Attacks
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SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
11 years 10 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
SIGMOD
2012
ACM
220views Database» more  SIGMOD 2012»
11 years 10 months ago
GUPT: privacy preserving data analysis made easy
It is often highly valuable for organizations to have their data analyzed by external agents. However, any program that computes on potentially sensitive data risks leaking inform...
Prashanth Mohan, Abhradeep Thakurta, Elaine Shi, D...
AI
2007
Springer
13 years 7 months ago
On the merging of Dung's argumentation systems
In this paper, the problem of deriving sensible information from a collection of argumentation systems coming from different agents is addressed. The underlying argumentation the...
Sylvie Coste-Marquis, Caroline Devred, Séba...
SASN
2006
ACM
14 years 1 months ago
Attack-resilient hierarchical data aggregation in sensor networks
In a large sensor network, in-network data aggregation, i.e., combining partial results at intermediate nodes during message routing, significantly reduces the amount of communic...
Sankardas Roy, Sanjeev Setia, Sushil Jajodia
AIRWEB
2008
Springer
13 years 9 months ago
A few bad votes too many?: towards robust ranking in social media
Online social media draws heavily on active reader participation, such as voting or rating of news stories, articles, or responses to a question. This user feedback is invaluable ...
Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyua...