Deakin University
Browse

File(s) under permanent embargo

ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks

Version 2 2024-06-04, 06:16
Version 1 2021-12-16, 09:22
conference contribution
posted on 2024-06-04, 06:16 authored by KF Hossain, SA Kamran, A Tavakoli, Lei PanLei Pan, Daniel Ma, Sutharshan RajasegararSutharshan Rajasegarar, Chandan KarmakarChandan Karmakar
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks

History

Pagination

50-56

Location

Pasadena, Calif.

Start date

2021-12-13

End date

2021-12-16

ISBN-13

9781665443371

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

ICMLA 2021 : Proceedings of the 2021 20th IEEE International Conference on Machine Learning and Applications

Event

IEEE Machine Learning and Applications. Conference (20th : 2021 : Pasadena, Calif.)

Publisher

IEEE

Place of publication

Piscataway, N.J.

Usage metrics

    Research Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC