ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.10504
  4. Cited By
Understanding the efficacy, reliability and resiliency of computer
  vision techniques for malware detection and future research directions

Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions

3 April 2019
Li-Wei Chen
    AAML
ArXiv (abs)PDFHTML

Papers citing "Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions"

1 / 1 papers shown
Title
MAB-Malware: A Reinforcement Learning Framework for Attacking Static
  Malware Classifiers
MAB-Malware: A Reinforcement Learning Framework for Attacking Static Malware Classifiers
Wei Song
Xuezixiang Li
Sadia Afroz
D. Garg
Dmitry Kuznetsov
Heng Yin
AAML
117
27
0
06 Mar 2020
1