Toggle Main Menu Toggle Search

Open Access padlockePrints

Feature Vulnerability and Robustness Assessment against Adversarial Machine Learning Attacks

Lookup NU author(s): Dr Essam GhadafiORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Publication metadata

Author(s): McCarthy A, Andriotis P, Ghadafi E, Legg P

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA 2021)

Year of Conference: 2021

Online publication date: 12/07/2021

Acceptance date: 02/04/2018

Publisher: IEEE

URL: https://doi.org/10.1109/CyberSA52016.2021.9478199

DOI: 10.1109/CyberSA52016.2021.9478199

Library holdings: Search Newcastle University Library for this item

ISBN: 9781665425292


Share