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. 1805.02684
  4. Cited By
Improving Network Intrusion Detection Classifiers by Non-payload-Based
  Exploit-Independent Obfuscations: An Adversarial Approach
v1v2 (latest)

Improving Network Intrusion Detection Classifiers by Non-payload-Based Exploit-Independent Obfuscations: An Adversarial Approach

7 May 2018
I. Homoliak
Martin Teknos
Martín Ochoa
Dominik Breitenbacher
Saeid Hosseini
P. Hanáček
    AAML
ArXiv (abs)PDFHTML

Papers citing "Improving Network Intrusion Detection Classifiers by Non-payload-Based Exploit-Independent Obfuscations: An Adversarial Approach"

2 / 2 papers shown
Title
Detecting APT Malware Command and Control over HTTP(S) Using Contextual Summaries
Detecting APT Malware Command and Control over HTTP(S) Using Contextual Summaries
Almuthanna Alageel
Sergio Maffeis
Imperial College London
77
2
0
07 Feb 2025
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini
D. Wagner
AAML
101
1,083
0
05 Jan 2018
1