Pól Mac Aonghusa

most citedDiffprivlib: The IBM Differential Privacy Library

67 citations · 71 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2019★ 67 cited

Diffprivlib: The IBM Differential Privacy Library

Naoise Holohan, Stefano Braghin, Pól Mac Aonghusa +1

Since its conception in 2006, differential privacy has emerged as the de-facto standard in data privacy, owing to its robust mathematical guarantees, generalised applicability and…

cs.CR2017★ 4 cited

( $k$ , $ε$ )-Anonymity: $k$ -Anonymity with $ε$ -Differential Privacy

Naoise Holohan, Spiros Antonatos, Stefano Braghin +1

The explosion in volume and variety of data offers enormous potential for research and commercial use. Increased availability of personal data is of particular interest in enabling…

Diffprivlib: The IBM Differential Privacy Library

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

( $k$ , $ε$ )-Anonymity: $k$ -Anonymity with $ε$ -Differential Privacy