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

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.07921
  4. Cited By
VizADS-B: Analyzing Sequences of ADS-B Images Using Explainable
  Convolutional LSTM Encoder-Decoder to Detect Cyber Attacks

VizADS-B: Analyzing Sequences of ADS-B Images Using Explainable Convolutional LSTM Encoder-Decoder to Detect Cyber Attacks

19 June 2019
Sefi Akerman
Edan Habler
A. Shabtai
ArXiv (abs)PDFHTML

Papers citing "VizADS-B: Analyzing Sequences of ADS-B Images Using Explainable Convolutional LSTM Encoder-Decoder to Detect Cyber Attacks"

4 / 4 papers shown
Title
Explainable AI over the Internet of Things (IoT): Overview,
  State-of-the-Art and Future Directions
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions
Senthil Kumar Jagatheesaperumal
Quoc-Viet Pham
Rukhsana Ruby
Zhaohui Yang
Chunmei Xu
Zhaoyang Zhang
152
72
0
02 Nov 2022
SoK: Explainable Machine Learning for Computer Security Applications
SoK: Explainable Machine Learning for Computer Security Applications
A. Nadeem
D. Vos
Clinton Cao
Luca Pajola
Simon Dieck
Robert Baumgartner
S. Verwer
178
50
0
22 Aug 2022
DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly
  detection in air transportation
DAE : Discriminatory Auto-Encoder for multivariate time-series anomaly detection in air transportation
Antoine Chevrot
Alexandre Vernotte
B. Legeard
AI4TS
103
28
0
08 Sep 2021
A new interpretable unsupervised anomaly detection method based on
  residual explanation
A new interpretable unsupervised anomaly detection method based on residual explanation
David F. N. Oliveira
L. Vismari
A. M. Nascimento
J. R. de Almeida
P. Cugnasca
J. Camargo
L. Almeida
Rafael Gripp
Marcelo M. Neves
AAML
144
20
0
14 Mar 2021
1