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Robust and Transferable Anomaly Detection in Log Data using Pre-Trained
  Language Models

Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models

23 February 2021
Harold Ott
Jasmin Bogatinovski
Alexander Acker
S. Nedelkoski
O. Kao
ArXivPDFHTML

Papers citing "Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models"

8 / 8 papers shown
Title
Inducing Personality in LLM-Based Honeypot Agents: Measuring the Effect on Human-Like Agenda Generation
Inducing Personality in LLM-Based Honeypot Agents: Measuring the Effect on Human-Like Agenda Generation
Lewis Newsham
Ryan Hyland
Daniel Prince
63
1
0
25 Mar 2025
Diagnosing Robotics Systems Issues with Large Language Models
Diagnosing Robotics Systems Issues with Large Language Models
Jordis Emilia Herrmann
Aswath Mandakath Gopinath
Mikael Norrlof
Mark Niklas Müller
23
0
0
06 Oct 2024
Demystifying and Extracting Fault-indicating Information from Logs for
  Failure Diagnosis
Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis
Junjie Huang
Zhihan Jiang
Jinyang Liu
Yintong Huo
Jiazhen Gu
Zhuangbin Chen
Cong Feng
Hui Dong
Zengyin Yang
Michael R. Lyu
33
3
0
20 Sep 2024
Convolutional vs Large Language Models for Software Log Classification
  in Edge-Deployable Cellular Network Testing
Convolutional vs Large Language Models for Software Log Classification in Edge-Deployable Cellular Network Testing
A. Ihalage
Sayed M. Taheri
Faris Muhammad
Hamed Al-Raweshidy
42
0
0
04 Jul 2024
Enhancing Trust in Autonomous Agents: An Architecture for Accountability
  and Explainability through Blockchain and Large Language Models
Enhancing Trust in Autonomous Agents: An Architecture for Accountability and Explainability through Blockchain and Large Language Models
Laura Fernández-Becerra
Miguel Ángel González Santamarta
Ángel Manuel Guerrero Higueras
Francisco J. Rodríguez-Lera
Vicente Matellán Olivera
36
0
0
14 Mar 2024
Try with Simpler -- An Evaluation of Improved Principal Component
  Analysis in Log-based Anomaly Detection
Try with Simpler -- An Evaluation of Improved Principal Component Analysis in Log-based Anomaly Detection
Lin Yang
Jun-Cheng Chen
Shutao Gao
Zhihao Gong
Hongyu Zhang
Yue Kang
Huaan Li
31
3
0
24 Aug 2023
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities
  and Challenges
AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges
Qian Cheng
Doyen Sahoo
Amrita Saha
Wenjing Yang
Chenghao Liu
Gerald Woo
Manpreet Singh
Silvio Saverese
Guosheng Lin
48
18
0
10 Apr 2023
Deep Learning for Anomaly Detection in Log Data: A Survey
Deep Learning for Anomaly Detection in Log Data: A Survey
Max Landauer
Sebastian Onder
Florian Skopik
Markus Wurzenberger
55
89
0
08 Jul 2022
1