Naoise Holohan

21 papers A* 2B 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Securing Floating-Point Arithmetic for Noise Addition. CCS Naoise Holohan, Stefano Braghin, Mohamed Suliman
2023	J	`jnl`	Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection. CoRR 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
2023	J	`jnl`	Random Number Generators and Seeding for Differential Privacy. CoRR Naoise Holohan
2021	—	`conf`	Secure Random Sampling in Differential Privacy. ESORICS (2) Naoise Holohan, Stefano Braghin
2021	J	`jnl`	Secure Random Sampling in Differential Privacy. CoRR Naoise Holohan, Stefano Braghin
2021	B	`conf`	Secure k-Anonymization over Encrypted Databases. CLOUD Manish Kesarwani, Akshar Kaul, Stefano Braghin, Naoise Holohan, Spiros Antonatos
2021	J	`jnl`	Secure k-Anonymization over Encrypted Databases. CoRR Manish Kesarwani, Akshar Kaul, Stefano Braghin, Naoise Holohan, Spiros Antonatos
2020	J	`jnl`	IBM Federated Learning: an Enterprise Framework White Paper V0.1. CoRR 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
2020	J	`jnl`	The Bounded Laplace Mechanism in Differential Privacy. J. Priv. Confidentiality Naoise Holohan, Spiros Antonatos, Stefano Braghin, Pól Mac Aonghusa
2019	J	`jnl`	AnonTokens: tracing re-identification attacks through decoy records. CoRR Spiros Antonatos, Stefano Braghin, Naoise Holohan, Pol Mac Aonghusa
2019	J	`jnl`	Diffprivlib: The IBM Differential Privacy Library. CoRR Naoise Holohan, Stefano Braghin, Pól Mac Aonghusa, Killian Levacher
2018	A*	`conf`	PRIMA: An End-to-End Framework for Privacy at Scale. ICDE Spiros Antonatos, Stefano Braghin, Naoise Holohan, Yiannis Gkoufas, Pol Mac Aonghusa
2018	J	`jnl`	The Bounded Laplace Mechanism in Differential Privacy. CoRR Naoise Holohan, Spiros Antonatos, Stefano Braghin, Pol Mac Aonghusa
2017	J	`jnl`	(k, ε)-Anonymity: k-Anonymity with ε-Differential Privacy. CoRR Naoise Holohan, Spiros Antonatos, Stefano Braghin, Pol Mac Aonghusa
2017	—	`—`	Mathematical foundations of differential privacy Naoise Holohan
2017	J	`jnl`	Optimal Differentially Private Mechanisms for Randomised Response. IEEE Trans. Inf. Forensics Secur. Naoise Holohan, Douglas J. Leith, Oliver Mason
2016	J	`jnl`	Differentially private response mechanisms on categorical data. Discret. Appl. Math. Naoise Holohan, Douglas J. Leith, Oliver Mason
2016	J	`jnl`	Optimal Differentially Private Mechanisms for Randomised Response. CoRR Naoise Holohan, Douglas J. Leith, Oliver Mason
2015	J	`jnl`	Differential privacy in metric spaces: Numerical, categorical and functional data under the one roof. Inf. Sci. Naoise Holohan, Douglas J. Leith, Oliver Mason
2015	J	`jnl`	Differentially Private Response Mechanisms on Categorical Data. CoRR Naoise Holohan, Douglas J. Leith, Oliver Mason
2014	J	`jnl`	Differential Privacy in Metric Spaces: Numerical, Categorical and Functional Data Under the One Roof. CoRR Naoise Holohan, Douglas J. Leith, Oliver Mason