Backdoor Attack on Machine Learning Based Android Malware Detectors-Reference-Cited by-同舟云学术

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Backdoor Attack on Machine Learning Based Android Malware Detectors

Published:2021 Issue: Volume: Page:1-1
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Li Chaoran,Chen Xiao,Wang Derui,Wen Sheng,Ahmed Muhammad Ejaz,Camtepe Seyit,Xiang Yang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8858/4358699/09477038.pdf?arnumber=9477038

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TDBAMLA: Temporal and dynamic behavior analysis in Android malware using LSTM and attention mechanisms;Computer Standards & Interfaces;2025-03

2. Toward Enhancing Sequence-Optimized Malware Representation With Context-Separated Bi-Directional Long Short-Term Memory and Proximal Policy Optimization;IEEE Transactions on Dependable and Secure Computing;2024-09

3. ARAYÜZ ÇEŞİTLENDİRMESİNİN KÖTÜ AMAÇLI YAZILIMLARDA KULLANIM DURUMU;İstanbul Ticaret Üniversitesi Teknoloji ve Uygulamalı Bilimler Dergisi;2024-08-29

4. LateBA: Latent Backdoor Attack on Deep Bug Search via Infrequent Execution Codes;Proceedings of the 15th Asia-Pacific Symposium on Internetware;2024-07-24

5. Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey;Computers and Electrical Engineering;2024-07

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