Evaluating the Strength of Genomic Privacy Metrics
- Submitting institution
-
De Montfort University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11123
- Type
- D - Journal article
- DOI
-
10.1145/3020003
- Title of journal
- ACM Transactions on Privacy and Security
- Article number
- 2
- First page
- -
- Volume
- 20
- Issue
- 1
- ISSN
- 2471-2566
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
0
- Research group(s)
-
-
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This article was the first to systematically evaluate the strength of privacy metrics for genomics. The reviewers pointed out: (i) “The manuscript provides an important comparison between many different metrics in genomic privacy, something that is important to the field”, and (ii) “this is the first paper that attempts to make such a comparison.” The results are based on rigorous statistical analysis of extensive experiments with real genomic data. The paper led to follow-on funding from EPSRC (EP/P006752/1).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -