7 citations · 13 across the 5 of their papers we have counts for
6 papers
An RFP dataset for Real, Fake, and Partially fake audio detection
Abdulazeez AlAli, George Theodorakopoulos
Recent advances in deep learning have enabled the creation of natural-sounding synthesised speech. However, attackers have also utilised these tech-nologies to conduct attacks such…
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection
Aydin Abadi, Bradley Doyle, Francesco Gini +9
Federated Learning (FL) is a data-minimization approach enabling collaborative model training across diverse clients with local data, avoiding direct data exchange. However, state-…
Location histogram privacy by sensitive location hiding and target histogram avoidance/resemblance (extended version)
Grigorios Loukides, George Theodorakopoulos
A location histogram is comprised of the number of times a user has visited locations as they move in an area of interest, and it is often obtained from the user in applications su…
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models
Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos
Models leak information about their training data. This enables attackers to infer sensitive information about their training sets, notably determine if a data sample was part of t…
Prolonging the Hide-and-Seek Game: Optimal Trajectory Privacy for Location-Based Services
George Theodorakopoulos, Reza Shokri, Carmela Troncoso +2
Human mobility is highly predictable. Individuals tend to only visit a few locations with high frequency, and to move among them in a certain sequence reflecting their habits and d…
Selfish Response to Epidemic Propagation
George Theodorakopoulos, Jean-Yves Le Boudec, John S. Baras
An epidemic spreading in a network calls for a decision on the part of the network members: They should decide whether to protect themselves or not. Their decision depends on the t…