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A2Log: Attentive Augmented Log Anomaly Detection

A2Log: Attentive Augmented Log Anomaly Detection

20 September 2021
Thorsten Wittkopp
Alexander Acker
S. Nedelkoski
Jasmin Bogatinovski
Dominik Scheinert
Wu Fan
O. Kao
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Papers citing "A2Log: Attentive Augmented Log Anomaly Detection"

9 / 9 papers shown
Title
FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly
  Generation and Discrimination
FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination
Yifei Lin
Hanqiu Deng
Xingyu Li
19
2
0
12 Apr 2024
Unsupervised Threat Hunting using Continuous Bag-of-Terms-and-Time
  (CBoTT)
Unsupervised Threat Hunting using Continuous Bag-of-Terms-and-Time (CBoTT)
V. Kayhan
S. Shivendu
R. Behnia
Clinton Daniel
Manish Agrawal
14
0
0
15 Mar 2024
Progressing from Anomaly Detection to Automated Log Labeling and
  Pioneering Root Cause Analysis
Progressing from Anomaly Detection to Automated Log Labeling and Pioneering Root Cause Analysis
Thorsten Wittkopp
Alexander Acker
O. Kao
14
0
0
22 Dec 2023
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning
PULL: Reactive Log Anomaly Detection Based On Iterative PU Learning
Thorsten Wittkopp
Dominik Scheinert
Philipp Wiesner
Alexander Acker
O. Kao
AI4TS
15
6
0
25 Jan 2023
LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph
  Construction
LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph Construction
Hongcheng Guo
Yu Guo
Renjie Chen
Jian Yang
Jiaheng Liu
Zhoujun Li
Tieqiao Zheng
Weichao Hou
Liangfan Zheng
Bo Zhang
11
13
0
23 Aug 2022
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
36
87
0
08 Jul 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
14
18
0
31 Dec 2021
A Taxonomy of Anomalies in Log Data
A Taxonomy of Anomalies in Log Data
Thorsten Wittkopp
Philipp Wiesner
Dominik Scheinert
O. Kao
6
4
0
26 Nov 2021
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak
  Supervision
LogLAB: Attention-Based Labeling of Log Data Anomalies via Weak Supervision
Thorsten Wittkopp
Philipp Wiesner
Dominik Scheinert
Alexander Acker
11
11
0
02 Nov 2021
1