N. Holohan

Most-cited papers

1. IBM Federated Learning: an Enterprise Framework White Paper V0.1

   Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou +20 more

   2020arXiv.org205 citations

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2. Diffprivlib: The IBM Differential Privacy Library

   N. Holohan, S. Braghin, Pól Mac Aonghusa, Killian Levacher

   2019arXiv.org198 citations

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3. The Bounded Laplace Mechanism in Differential Privacy

   N. Holohan, S. Antonatos, S. Braghin, Pól Mac Aonghusa

   2018Journal of Privacy and Confidentiality83 citations Open access

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4. Optimal Differentially Private Mechanisms for Randomised Response

   N. Holohan, D. Leith, O. Mason

   2016IEEE Transactions on Information Forensics and Security68 citations Open access

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5. Differential privacy in metric spaces: Numerical, categorical and functional data under the one roof

   N. Holohan, D. Leith, O. Mason

   2014Information Sciences31 citations Open access

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6. Secure Random Sampling in Differential Privacy

   N. Holohan, S. Braghin

   2021European Symposium on Research in Computer Security29 citations

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7. (k, ε)-Anonymity: k-Anonymity with ε-Differential Privacy

   N. Holohan, S. Antonatos, S. Braghin, Pól Mac Aonghusa

   2017arXiv.org29 citations

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8. Extreme Points of the Local Differential Privacy Polytope

   N. Holohan, D. Leith, O. Mason

   201623 citations Open access

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9. PRIMA: An End-to-End Framework for Privacy at Scale

   S. Antonatos, S. Braghin, N. Holohan, Yiannis Gkoufas +1 more

   2018IEEE International Conference on Data Engineering10 citations

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10. ($k$,$\epsilon$)-Anonymity: $k$-Anonymity with $\epsilon$-Differential Privacy

    N. Holohan, S. Antonatos, S. Braghin, Pól Mac Aonghusa

    20178 citations

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11. Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection

    S. Kadhe, Heiko Ludwig, Nathalie Baracaldo, Alan King +11 more

    2023arXiv.org7 citations

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12. Secure k-Anonymization over Encrypted Databases

    M. Kesarwani, Akshar Kaul, S. Braghin, N. Holohan +1 more

    2021IEEE International Conference on Cloud Computing7 citations Open access

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13. Securing Floating-Point Arithmetic for Noise Addition

    N. Holohan, S. Braghin, M. Suliman

    2024Conference on Computer and Communications Security5 citations Open access

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14. Random Number Generators and Seeding for Differential Privacy

    N. Holohan

    2023arXiv.org4 citations Open access

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15. Mathematical foundations of differential privacy

    N. Holohan

    20173 citations

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16. Differentially private response mechanisms on categorical data

    N. Holohan, D. Leith, O. Mason

    2015Discrete Applied Mathematics3 citations Open access

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17. AnonTokens: tracing re-identification attacks through decoy records

    S. Antonatos, S. Braghin, N. Holohan, Pól Mac Aonghusa

    2019arXiv.org1 citations

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18. Optimisation of bulk carrier loading and discharge

    R. Cimpeanu, M. Devine, J. Donohue, G. Hocking +3 more

    20131 citations

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19. Optimisation of bulk carrier loading and discharge Report contributors :

    R. Cimpeanu, M. Devine, J. Donohue, G. Hocking +17 more

    20140 citations

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