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Membership Privacy for Fully Dynamic Group Signatures     SFPK  SPSEQ       font style='font-size:12px;'> 2018/7/9
Group signatures present a trade-off between the traditional goals of digital signatures and the signer's desire for privacy, allowing for the creation of unforgeable signatures in the name of a group...
Universally Composable Zero-Knowledge Proof of Membership     UC  zero-knowledge       font style='font-size:12px;'> 2017/4/27
Since its introduction the UC framework by Canetti has received a lot of attention. A contributing factor to its popularity is that it allows to capture a large number of common cryptographic primitiv...
A sparse Merkle tree is an authenticated data structure based on a perfect Merkle tree of intractable size. It contains a distinct leaf for every possible output from a cryptographic hash function, an...
Membership encryption is a newly developed cryptographic primitive that combines membership proof and encryption into an unified setting. This paper presents a new flexible membership encryption sch...
Primary-Secondary-Resolver Membership Proof Systems     Zero-Knowledge  Efficiency  DNSSEC       font style='font-size:12px;'> 2016/1/6
We consider Primary-Secondary-Resolver Membership Proof Systems (PSR for short) and show different constructions of that primitive. A PSR system is a 3-party protocol, where we have a primary, which...
Often, in privacy-sensitive cryptographic protocols, a party commits to a secret message m and later needs to prove that m belongs to a language L or that m does not belong to L (but does not want to...
A method is presented for parameter set estimation where the system model is assumed to contain both parametric and nonparametric uncertainty. In the disturbance-free case, the parameter set estimate ...
Boneh, Raghunathan, and Segev (CRYPTO '13) have recently put forward the notion of function privacy and applied it to identity-based encryption, motivated by the need for providing predicate privacy i...
This study examines executive compensation in entrepreneurial teams, using a dataset of 529 private companies (1,218 CEOs, CFOs, and CTOs) from 2000, 2001, and 2002. Founders make less than non-founde...
Urban land use classification from remotely sensed images has drawn great attention in the past decades. Most researchers derive land use data from remotely sensed images alone, but the results are ...
The Clinical Oncological Society of Australia (COSA) is Australia’s peak multidisciplinary society for health professionals working in cancer research, treatment, rehabilitation or palliative care. ...
Boneh, Raghunathan, and Segev (CRYPTO '13) have recently put forward the notion of function privacy and applied it to identity-based encryption, motivated by the need for providing predicate privacy i...
In 1996, statutory sick pay was reduced for private sector workers in Germany. Using the empirical observation that trade union members are dismissed less often than non-members, we construct a model ...
Surveying some recent data and the empirical literature from various disciplines, this paper attempts to shed some light on what we know and don't know about (trends in) unionization and its determina...
Multidimensional Membership Mixture Models     Multidimensional Membership  Mixture Models       font style='font-size:12px;'> 2012/9/18
We present the multidimensional membership mixture (M3) models where every dimension of the membership represents an independent mixture model and each data point is generated from the selected mixtu...

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