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ADALog: Adaptive Unsupervised Anomaly detection in Logs with Self-attention Masked Language Model

ADALog: Adaptive Unsupervised Anomaly detection in Logs with Self-attention Masked Language Model

15 May 2025
Przemek Pospieszny
Wojciech Mormul
Karolina Szyndler
Sanjeev Kumar
ArXivPDFHTML

Papers citing "ADALog: Adaptive Unsupervised Anomaly detection in Logs with Self-attention Masked Language Model"

16 / 16 papers shown
Title
Log2graphs: An Unsupervised Framework for Log Anomaly Detection with
  Efficient Feature Extraction
Log2graphs: An Unsupervised Framework for Log Anomaly Detection with Efficient Feature Extraction
Caihong Wang
Du Xu
Zonghang Li
48
2
0
18 Sep 2024
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs
LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs
Yuuki Yamanaka
Tomokatsu Takahashi
Takuya Minami
Yoshiaki Nakajima
34
3
0
16 Feb 2024
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
Hongcheng Guo
Jian Yang
Jiaheng Liu
Jiaqi Bai
Boyang Wang
Zhoujun Li
Tieqiao Zheng
Bo Zhang
Junran peng
Qi Tian
32
16
0
09 Jan 2024
RAGLog: Log Anomaly Detection using Retrieval Augmented Generation
RAGLog: Log Anomaly Detection using Retrieval Augmented Generation
Jonathan Pan
Swee Liang Wong
Yidi Yuan
22
13
0
09 Nov 2023
Log-based Anomaly Detection of Enterprise Software: An Empirical Study
Log-based Anomaly Detection of Enterprise Software: An Empirical Study
Nadun Wijesinghe
Hadi Hemmati
19
1
0
31 Oct 2023
On the Effectiveness of Log Representation for Log-based Anomaly
  Detection
On the Effectiveness of Log Representation for Log-based Anomaly Detection
Xingfang Wu
Heng Li
Foutse Khomh
AI4TS
37
15
0
17 Aug 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
72
91
0
08 Jul 2022
Log-based Anomaly Detection with Deep Learning: How Far Are We?
Log-based Anomaly Detection with Deep Learning: How Far Are We?
Van-Hoang Le
Hongyu Zhang
24
161
0
09 Feb 2022
TransLog: A Unified Transformer-based Framework for Log Anomaly
  Detection
TransLog: A Unified Transformer-based Framework for Log Anomaly Detection
Hongcheng Guo
Xin-Xue Lin
Jian Yang
Yi Zhuang
Jiaqi Bai
Tieqiao Zheng
Bo Zhang
Zhoujun Li
45
20
0
31 Dec 2021
LAnoBERT: System Log Anomaly Detection based on BERT Masked Language
  Model
LAnoBERT: System Log Anomaly Detection based on BERT Masked Language Model
Yukyung Lee
Jina Kim
Pilsung Kang
19
80
0
18 Nov 2021
Masked Language Modeling and the Distributional Hypothesis: Order Word
  Matters Pre-training for Little
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Koustuv Sinha
Robin Jia
Dieuwke Hupkes
J. Pineau
Adina Williams
Douwe Kiela
68
246
0
14 Apr 2021
LogBERT: Log Anomaly Detection via BERT
LogBERT: Log Anomaly Detection via BERT
Haixuan Guo
Shuhan Yuan
Xintao Wu
48
220
0
07 Mar 2021
Self-Attentive Classification-Based Anomaly Detection in Unstructured
  Logs
Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs
S. Nedelkoski
Jasmin Bogatinovski
Alexander Acker
Jorge Cardoso
O. Kao
22
128
0
21 Aug 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
117
7,386
0
02 Oct 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
893
93,936
0
11 Oct 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
430
129,831
0
12 Jun 2017
1