32 citations · 91 across the 60 of their papers we have counts for
7 papers · 1 filter
GenShare: Sharing Accurate Differentially-Private Statistics for Genomic Datasets with Dependent Tuples
Nour Almadhoun Alserr, Ozgur Ulusoy, Erman Ayday +1
Motivation: Cutting the cost of DNA sequencing technology led to a quantum leap in the availability of genomic data. While sharing genomic data across researchers is an essential d…
Privacy-Preserving Database Fingerprinting
Tianxi Ji, Erman Ayday, Emre Yilmaz +1
When sharing sensitive relational databases with other parties, a database owner aims to (i) have privacy guarantees for the database entries, (ii) have liability guarantees (via f…
Privacy-Preserving Identification of Target Patients from Outsourced Patient Data
Xiaojie Zhu, Erman Ayday, Roman Vitenberg
With the increasing affordability and availability of patient data, hospitals tend to outsource their data to cloud service providers (CSPs) for the purpose of storage and analytic…
Near-Optimal Privacy-Utility Tradeoff in Genomic Studies Using Selective SNP Hiding
Nour Almadhoun Alserr, Gulce Kale, Onur Mutlu +2
Motivation: Researchers need a rich trove of genomic datasets that they can leverage to gain a better understanding of the genetic basis of the human genome and identify associatio…
The Curse of Correlations for Robust Fingerprinting of Relational Databases
Tianxi Ji, Emre Yilmaz, Erman Ayday +1
Database fingerprinting have been widely adopted to prevent unauthorized sharing of data and identify the source of data leakages. Although existing schemes are robust against comm…
Genomic Data Sharing under Dependent Local Differential Privacy
Emre Yilmaz, Tianxi Ji, Erman Ayday +1
Privacy-preserving genomic data sharing is prominent to increase the pace of genomic research, and hence to pave the way towards personalized genomic medicine. In this paper, we in…
Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies
Anisa Halimi, Leonard Dervishi, Erman Ayday +5
Providing provenance in scientific workflows is essential for reproducibility and auditability purposes. Workflow systems model and record provenance describing the steps performed…