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20052024
most citedSecure Biometrics: Concepts, Authentication Architectures and Challenges

89 citations · 362 across the 53 of their papers we have counts for

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Showing cs.CRShow all

7 papers · 1 filter

cs.CR2019★ 1 cited

Collaborative Privacy for Web Applications

Yihao Hu, Ari Trachtenberg, Prakash Ishwar

Real-time, online-editing web apps provide free and convenient services for collaboratively editing, sharing and storing files. The benefits of these web applications do not come f…

cs.CR2014

An Elementary Completeness Proof for Secure Two-Party Computation Primitives

Ye Wang, Prakash Ishwar, Shantanu Rane

In the secure two-party computation problem, two parties wish to compute a (possibly randomized) function of their inputs via an interactive protocol, while ensuring that neither p…

cs.CR2013

On Unconditionally Secure Multiparty Computation for Realizing Correlated Equilibria in Games

Ye Wang, Shantanu Rane, Prakash Ishwar

In game theory, a trusted mediator acting on behalf of the players can enable the attainment of correlated equilibria, which may provide better payoffs than those available from th…

cs.CR2013★ 89 cited

Secure Biometrics: Concepts, Authentication Architectures and Challenges

Shantanu Rane, Ye Wang, Stark. C. Draper +1

BIOMETRICS are an important and widely used class of methods for identity verification and access control. Biometrics are attractive because they are inherent properties of an indi…

cs.CR2012

Information-Theoretically Secure Three-Party Computation with One Corrupted Party

Ye Wang, Prakash Ishwar, Shantanu Rane

The problem in which one of three pairwise interacting parties is required to securely compute a function of the inputs held by the other two, when one party may arbitrarily deviat…

cs.CR2010

Unconditionally Secure Computation on Large Distributed Databases with Vanishing Cost

Ye Wang, Shantanu Rane, Prakash Ishwar +1

Consider a network of k parties, each holding a long sequence of n entries (a database), with minimum vertex-cut greater than t. We show that any empirical statistic across the net…