1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations
Davide Coppola, Hwee Kuan Lee
This study explores the impact of adversarial perturbations on Convolutional Neural Networks (CNNs) with the aim of enhancing the understanding of their underlying mechanisms. Desp…
cs.LG2023
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation
Jiyi Zhang, Han Fang, Hwee Kuan Lee +1
Given a poorly documented neural network model, we take the perspective of a forensic investigator who wants to find out the model's data domain (e.g. whether on face images or tra…
eess.SP2022
A Deep Learning Network for the Classification of Intracardiac Electrograms in Atrial Tachycardia
Zerui Chen, Sonia Xhyn Teo, Andrie Ochtman +5
A key technology enabling the success of catheter ablation treatment for atrial tachycardia is activation mapping, which relies on manual local activation time (LAT) annotation of…