Naoise Holohan

Orcid: 0000-0003-2222-9394

According to our database1, Naoise Holohan authored at least 14 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection.
CoRR, 2023

Random Number Generators and Seeding for Differential Privacy.
CoRR, 2023

2021
Secure Random Sampling in Differential Privacy.
Proceedings of the Computer Security - ESORICS 2021, 2021

Secure k-Anonymization over Encrypted Databases.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020
The Bounded Laplace Mechanism in Differential Privacy.
J. Priv. Confidentiality, 2020

IBM Federated Learning: an Enterprise Framework White Paper V0.1.
CoRR, 2020

2019
Diffprivlib: The IBM Differential Privacy Library.
CoRR, 2019

AnonTokens: tracing re-identification attacks through decoy records.
CoRR, 2019

2018
PRIMA: An End-to-End Framework for Privacy at Scale.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
Mathematical foundations of differential privacy
PhD thesis, 2017

Optimal Differentially Private Mechanisms for Randomised Response.
IEEE Trans. Inf. Forensics Secur., 2017

(k, ε)-Anonymity: k-Anonymity with ε-Differential Privacy.
CoRR, 2017

2016
Differentially private response mechanisms on categorical data.
Discret. Appl. Math., 2016

2015
Differential privacy in metric spaces: Numerical, categorical and functional data under the one roof.
Inf. Sci., 2015


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