Naoise Holohan
Naoise Holohan
Research Scientist, IBM Research - Ireland
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
Optimal differentially private mechanisms for randomised response
N Holohan, DJ Leith, O Mason
IEEE Transactions on Information Forensics and Security 12 (11), 2726-2735, 2017
372017
Diffprivlib: The IBM differential privacy library
N Holohan, S Braghin, P Mac Aonghusa, K Levacher
arXiv preprint arXiv:1907.02444, 2019
33*2019
Differential privacy in metric spaces: Numerical, categorical and functional data under the one roof
N Holohan, DJ Leith, O Mason
Information Sciences 305, 256-268, 2015
262015
The bounded Laplace mechanism in differential privacy
N Holohan, S Antonatos, S Braghin, P Mac Aonghusa
arXiv preprint arXiv:1808.10410, 2018
252018
IBM Federated Learning: An enterprise framework white paper v0.1
H Ludwig, N Baracaldo, G Thomas, Y Zhou, A Anwar, S Rajamoni, Y Ong, ...
arXiv preprint arXiv:2007.10987, 2020
212020
(,)-Anonymity: -Anonymity with -Differential Privacy
N Holohan, S Antonatos, S Braghin, P Mac Aonghusa
arXiv preprint arXiv:1710.01615, 2017
14*2017
Extreme points of the local differential privacy polytope
N Holohan, DJ Leith, O Mason
Linear Algebra and its Applications 534, 78-96, 2017
102017
Prima: an end-to-end framework for privacy at scale
S Antonatos, S Braghin, N Holohan, Y Gkoufas, P Mac Aonghusa
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1531-1542, 2018
82018
Differentially private response mechanisms on categorical data
N Holohan, DJ Leith, O Mason
Discrete Applied Mathematics 211, 86-98, 2016
32016
Mathematical Foundations of Differential Privacy
N Holohan
Trinity College Dublin, 2017
22017
Secure random sampling in differential privacy
N Holohan, S Braghin
European Symposium on Research in Computer Security, 523-542, 2021
12021
Adaptive anonymization of data using statistical inference
A Pascale, N Holohan, P Tommasi, S Deparis
US Patent App. 16/127,694, 2020
12020
Fast linking of anonymized datasets
S Antonatos, S Braghin, N Holohan, P MacAonghusa
US Patent 11,132,386, 2021
2021
Secure -Anonymization over Encrypted Databases
M Kesarwani, A Kaul, S Braghin, N Holohan, S Antonatos
arXiv preprint arXiv:2108.04780, 2021
2021
Watermarking anonymized datasets by adding decoys
S Antonatos, S Braghin, N Holohan, P MacAonghusa
US Patent 10,997,279, 2021
2021
Providing consistent data masking using causal ordering
S Antonatos, S Braghin, N Holohan, P Mac Aonghusa
US Patent App. 16/386,586, 2020
2020
Sensitive data policy recommendation based on compliance obligations of a data source
S Antonatos, S Braghin, N Holohan, K Levacher, R Nair, M Stephenson
US Patent App. 16/353,540, 2020
2020
Applying a differential privacy operation on a cluster of data
S Antonatos, S Braghin, N Holohan, P Mac Aonghusa
US Patent 10,769,306, 2020
2020
Privacy protection of entities in a transportation system
S Antonatos, A Botea, S Braghin, N Holohan, A Kishimoto
US Patent App. 16/262,483, 2020
2020
Detecting unauthorized use of sensitive information in content communicated over a network
S Antonatos, S Braghin, N Holohan, P Mac Aonghusa
US Patent App. 15/882,583, 2019
2019
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