67 citations · 75 across the 8 of their papers we have counts for
9 papers
Extracting, Visualizing, and Learning from Dynamic Data: Perfusion in Surgical Video for Tissue Characterization
Jonathan P. Epperlein, Niall P. Hardy, Pol Mac Aonghusa +1
Intraoperative assessment of tissue can be guided through fluorescence imaging which involves systemic dosing with a fluorophore and subsequent examination of the tissue region of…
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures
Sergiy Zhuk, Jonathan P. Epperlein, Rahul Nair +4
Intra-operative identification of malignant versus benign or healthy tissue is a major challenge in fluorescence guided cancer surgery. We propose a perfusion quantification method…
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…
AnonTokens: tracing re-identification attacks through decoy records
Spiros Antonatos, Stefano Braghin, Naoise Holohan +1
Privacy is of the utmost concern when it comes to releasing data to third parties. Data owners rely on anonymization approaches to safeguard the released datasets against re-identi…
3PS - Online Privacy through Group Identities
Pol Mac Aonghusa, Douglas Leith
Limiting online data collection to the minimum required for specific purposes is mandated by modern privacy legislation such as the General Data Protection Regulation (GDPR) and th…
The Bounded Laplace Mechanism in Differential Privacy
Naoise Holohan, Spiros Antonatos, Stefano Braghin +1
The Laplace mechanism is the workhorse of differential privacy, applied to many instances where numerical data is processed. However, the Laplace mechanism can return semantically…