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Erman Ayday

Researcher at Case Western Reserve University

Publications -  140
Citations -  2760

Erman Ayday is an academic researcher from Case Western Reserve University. The author has contributed to research in topics: Computer science & Information privacy. The author has an hindex of 27, co-authored 120 publications receiving 2307 citations. Previous affiliations of Erman Ayday include Bilkent University & Georgia Tech Research Institute.

Papers
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Journal ArticleDOI

Privacy in the Genomic Era

TL;DR: An enumeration of the challenges for genome data privacy is enumerated and a framework to systematize the analysis of threats and the design of countermeasures as the field moves forward is presented.
Proceedings ArticleDOI

Addressing the concerns of the lacks family: quantification of kin genomic privacy

TL;DR: This work formalizes the problem and detail an efficient reconstruction attack based on graphical models and belief propagation, and introduces the quantification of health privacy, specifically the measure of how well the predisposition to a disease is concealed from an attacker.
Posted Content

Privacy in the Genomic Era

TL;DR: The problem of genome data privacy is at the crossroads of computer science, medicine, and public policy as discussed by the authors, and the state-of-the-art regarding privacy attacks on genomic data and strategies for mitigating such attacks, as well as contextualizing these attacks from the perspective of medicine and public policies.
Proceedings ArticleDOI

Protecting and evaluating genomic privacy in medical tests and personalized medicine

TL;DR: This paper develops a new architecture and proposes a "privacy-preserving disease susceptibility test" (PDS) by using homomorphic encryption and proxy re-encryption, and quantifies the genomic privacy of a patient.
Journal ArticleDOI

Realizing the potential of blockchain technologies in genomics.

TL;DR: Current developments toward using blockchain to address several problems in omics are introduced, and an outlook of possible future implications of the blockchain technology to life sciences is provided.