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

27 February 2017

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

8 / 8 papers shown

Title
Nebula: Self-Attention for Dynamic Malware Analysis Dmitrijs Trizna Luca Demetrio Battista Biggio Fabio Roli 24 13 0 19 Sep 2023
Web Content Filtering through knowledge distillation of Large Language Models Tamás Vörös Sean P. Bergeron Konstantin Berlin 27 7 0 08 May 2023
Transformers for End-to-End InfoSec Tasks: A Feasibility Study Ethan M. Rudd Mohammad Saidur Rahman Philip Tully 22 5 0 05 Dec 2022
Nested Multiple Instance Learning in Modelling of HTTP network traffic Tomás Pevný Marek Dedic 19 9 0 10 Feb 2020
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 19 67 0 30 Sep 2018
MEADE: Towards a Malicious Email Attachment Detection Engine Ethan M. Rudd Richard E. Harang Joshua Saxe 11 32 0 22 Apr 2018
Malicious URL Detection using Machine Learning: A Survey Doyen Sahoo Chenghao Liu S. Hoi MU AAML 16 321 0 25 Jan 2017
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014