No Cover Image

Journal article 47 views

Adversarial malware sample generation method based on the prototype of deep learning detector

Yanchen Qiao Orcid Logo, Weizhe Zhang, Zhicheng Tian, Laurence T. Yang, Yang Liu Orcid Logo, Mamoun Alazab

Computers & Security, Volume: 119, Start page: 102762

Swansea University Author: Yang Liu Orcid Logo

Full text not available from this repository: check for access using links below.

Published in: Computers & Security
ISSN: 0167-4048
Published: Elsevier BV 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa67396
Tags: Add Tag
No Tags, Be the first to tag this record!
Keywords: Adversarial example; Deep learning; Model interpretability; Malware detection; Prototype
College: Faculty of Science and Engineering
Funders: This work is supported by the Major Key Project of PCL (No. PCL2021A02), the Key-Area Research and Development Program of Guangdong Province (No. 2020B0101360001), and the National Natural Science Foundation of China (No. 62102202).
Start Page: 102762