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. 1702.08568
  4. Cited By
eXpose: A Character-Level Convolutional Neural Network with Embeddings
  For Detecting Malicious URLs, File Paths and Registry Keys

eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys

27 February 2017
Joshua Saxe
Konstantin Berlin
ArXivPDFHTML

Papers citing "eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys"

11 / 11 papers shown
Title
Nebula: Self-Attention for Dynamic Malware Analysis
Nebula: Self-Attention for Dynamic Malware Analysis
Dmitrijs Trizna
Christian Scano
Battista Biggio
Fabio Roli
24
13
0
19 Sep 2023
Web Content Filtering through knowledge distillation of Large Language
  Models
Web Content Filtering through knowledge distillation of Large Language Models
Tamás Vörös
Sean P. Bergeron
Konstantin Berlin
35
7
0
08 May 2023
Transformers for End-to-End InfoSec Tasks: A Feasibility Study
Transformers for End-to-End InfoSec Tasks: A Feasibility Study
Ethan M. Rudd
Mohammad Saidur Rahman
Philip Tully
30
5
0
05 Dec 2022
A Transferable and Automatic Tuning of Deep Reinforcement Learning for
  Cost Effective Phishing Detection
A Transferable and Automatic Tuning of Deep Reinforcement Learning for Cost Effective Phishing Detection
Orel Lavie
A. Shabtai
Gilad Katz
AAML
OffRL
32
1
0
19 Sep 2022
Nested Multiple Instance Learning in Modelling of HTTP network traffic
Nested Multiple Instance Learning in Modelling of HTTP network traffic
Tomás Pevný
Marek Dedic
27
9
0
10 Feb 2020
MaskDGA: A Black-box Evasion Technique Against DGA Classifiers and
  Adversarial Defenses
MaskDGA: A Black-box Evasion Technique Against DGA Classifiers and Adversarial Defenses
Lior Sidi
Asaf Nadler
A. Shabtai
AAML
31
22
0
24 Feb 2019
Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
Idan Amit
John Matherly
W. Hewlett
Zhi Xu
Yinnon Meshi
Yigal Weinberger
10
50
0
19 Dec 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep
  Convolutional Networks
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks
Kenneth T. Co
Luis Muñoz-González
Sixte de Maupeou
Emil C. Lupu
AAML
22
67
0
30 Sep 2018
MEADE: Towards a Malicious Email Attachment Detection Engine
MEADE: Towards a Malicious Email Attachment Detection Engine
Ethan M. Rudd
Richard E. Harang
Joshua Saxe
33
33
0
22 Apr 2018
Malicious URL Detection using Machine Learning: A Survey
Malicious URL Detection using Machine Learning: A Survey
Doyen Sahoo
Chenghao Liu
Guosheng Lin
MU
AAML
35
321
0
25 Jan 2017
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
291
13,373
0
25 Aug 2014
1