ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2303.07003
  4. Cited By
Review on the Feasibility of Adversarial Evasion Attacks and Defenses
  for Network Intrusion Detection Systems

Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems

13 March 2023
Islam Debicha
Benjamin Cochez
Tayeb Kenaza
Thibault Debatty
Jean-Michel Dricot
Wim Mees
    AAML
ArXiv (abs)PDFHTML

Papers citing "Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems"

1 / 1 papers shown
Title
A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems
A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection SystemsInternational Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2024
Benyamin Tafreshian
Shengzhi Zhang
AAML
155
5
0
24 Feb 2025
1