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» Enhancing Privacy with Shared Pseudo Random Sequences
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SPW
2005
Springer
13 years 10 months ago
Enhancing Privacy with Shared Pseudo Random Sequences
Protecting users’ privacy is essential for turning networks and services into trustworthy friends. Many privacy enhancing techniques, such as anonymous e-cash and mix-nets, have...
Jari Arkko, Pekka Nikander, Mats Näslund
IACR
2011
101views more  IACR 2011»
12 years 4 months ago
Policy-Enhanced Private Set Intersection: Sharing Information While Enforcing Privacy Policies
Companies, organizations, and individuals often wish to share information to realize valuable social and economic goals. Unfortunately, privacy concerns often stand in the way of ...
Emil Stefanov, Elaine Shi, Dawn Song
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 5 months ago
Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers
Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construc...
Vincent Yan Fu Tan, See-Kiong Ng
ICIAP
1999
ACM
13 years 8 months ago
Random Walk Approach to Image Enhancement
The paper presents a new technique of image enhancement. The described algorithm enables the suppression of noise and contrast enhancement. The interesting feature of this new alg...
Bogdan Smolka, Konrad W. Wojciechowski, Marek Szcz...
SDMW
2004
Springer
13 years 10 months ago
Using Secret Sharing for Searching in Encrypted Data
When outsourcing data to an untrusted database server, the data should be encrypted. When using thin clients or low-bandwidth networks it is best to perform most of the work at the...
Richard Brinkman, Jeroen Doumen, Willem Jonker