Naoise Holohan

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 16

Top Topics

Random Number Generators

Privacy Preservation

Horizontally Partitioned Data

Top Venues

J. Priv. Confidentiality

Discret. Appl. Math.

Publications

Swanand Ravindra Kadhe, Heiko Ludwig, Nathalie Baracaldo, Alan King, Yi Zhou, Keith Houck, Ambrish Rawat, Mark Purcell, Naoise Holohan, Mikio Takeuchi, Ryo Kawahara, Nir Drucker, Hayim Shaul, Eyal Kushnir, Omri Soceanu
Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection. CoRR (2023)
Naoise Holohan
Random Number Generators and Seeding for Differential Privacy. CoRR (2023)
Manish Kesarwani, Akshar Kaul, Stefano Braghin, Naoise Holohan, Spiros Antonatos
Secure k-Anonymization over Encrypted Databases. CLOUD (2021)
Naoise Holohan, Stefano Braghin
Secure Random Sampling in Differential Privacy. CoRR (2021)
Manish Kesarwani, Akshar Kaul, Stefano Braghin, Naoise Holohan, Spiros Antonatos
Secure k-Anonymization over Encrypted Databases. CoRR (2021)
Naoise Holohan, Stefano Braghin
Secure Random Sampling in Differential Privacy. ESORICS (2) (2021)
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay
IBM Federated Learning: an Enterprise Framework White Paper V0.1. CoRR (2020)
Naoise Holohan, Spiros Antonatos, Stefano Braghin, Pól Mac Aonghusa
The Bounded Laplace Mechanism in Differential Privacy. J. Priv. Confidentiality 10 (1) (2020)
Naoise Holohan, Stefano Braghin, Pól Mac Aonghusa, Killian Levacher
Diffprivlib: The IBM Differential Privacy Library. CoRR (2019)
Spiros Antonatos, Stefano Braghin, Naoise Holohan, Pol Mac Aonghusa
AnonTokens: tracing re-identification attacks through decoy records. CoRR (2019)
Naoise Holohan, Spiros Antonatos, Stefano Braghin, Pol Mac Aonghusa
The Bounded Laplace Mechanism in Differential Privacy. CoRR (2018)
Spiros Antonatos, Stefano Braghin, Naoise Holohan, Yiannis Gkoufas, Pol Mac Aonghusa
PRIMA: An End-to-End Framework for Privacy at Scale. ICDE (2018)
Naoise Holohan, Spiros Antonatos, Stefano Braghin, Pol Mac Aonghusa
(k, ε)-Anonymity: k-Anonymity with ε-Differential Privacy. CoRR (2017)
Naoise Holohan, Douglas J. Leith, Oliver Mason
Optimal Differentially Private Mechanisms for Randomised Response. IEEE Trans. Inf. Forensics Secur. 12 (11) (2017)
Naoise Holohan, Douglas J. Leith, Oliver Mason
Optimal Differentially Private Mechanisms for Randomised Response. CoRR (2016)
Naoise Holohan, Douglas J. Leith, Oliver Mason
Differentially private response mechanisms on categorical data. Discret. Appl. Math. 211 (2016)
Naoise Holohan, Douglas J. Leith, Oliver Mason
Differential privacy in metric spaces: Numerical, categorical and functional data under the one roof. Inf. Sci. 305 (2015)
Naoise Holohan, Douglas J. Leith, Oliver Mason
Differentially Private Response Mechanisms on Categorical Data. CoRR (2015)
Naoise Holohan, Douglas J. Leith, Oliver Mason
Differential Privacy in Metric Spaces: Numerical, Categorical and Functional Data Under the One Roof. CoRR (2014)