research
∙
04/21/2023
GCNH: A Simple Method For Representation Learning On Heterophilous Graphs
Graph Neural Networks (GNNs) are well-suited for learning on homophilous...
share
research
∙
12/26/2022
2-hop Neighbor Class Similarity (2NCS): A graph structural metric indicative of graph neural network performance
Graph Neural Networks (GNNs) achieve state-of-the-art performance on gra...
research
∙
02/13/2022
I'm Hearing (Different) Voices: Anonymous Voices to Protect User Privacy
In this paper, we present AltVoice – a system designed to help user's pr...
research
∙
01/25/2022
Common Evaluation Pitfalls in Touch-Based Authentication Systems
In this paper, we investigate common pitfalls affecting the evaluation o...
research
∙
10/09/2021
Widen The Backdoor To Let More Attackers In
As collaborative learning and the outsourcing of data collection become ...
research
∙
01/25/2021
They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors
Cameras have become a fundamental component of vision-based intelligent ...
research
∙
10/26/2020
Speaker Anonymization with Distribution-Preserving X-Vector Generation for the VoicePrivacy Challenge 2020
In this paper, we present a Distribution-Preserving Voice Anonymization ...
research
∙
07/08/2020
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations
Whilst significant research effort into adversarial examples (AE) has em...
research
∙
04/15/2020
Seeing Red: PPG Biometrics Using Smartphone Cameras
In this paper, we propose a system that enables photoplethysmogram (PPG)...
research
∙
05/22/2019