Results 31 to 40 of about 4,966,072 (364)
Anomaly Detection As-a-Service [PDF]
2019 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), 2019 Paper accepted at the Intl. Workshop on Governing Adaptive and Unplanned Systems of Systems (GAUSS)
Mobilio, M +4 more
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Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2021 Anomaly detection on attributed networks attracts considerable research interests due to wide applications of attributed networks in modeling a wide range of complex systems.
Yixin Liu +5 more
semanticscholar +1 more source
Detecting network performance anomalies with contextual anomaly detection [PDF]
2017 IEEE International Workshop on Measurement and Networking (M&N), 2017 Network performance anomalies can be defined as abnormal and significant variations in a network's traffic levels. Being able to detect anomalies is critical for both network operators and end users. However, the accurate detection without raising false alarms can become a challenging task when there is high variance in the traffic.
Dimopoulos, Giorgos +3 more
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VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization [PDF]
International Symposium on Industrial Electronics, 2021 We present a transformer-based image anomaly detection and localization network. Our proposed model is a combination of a reconstruction-based approach and patch embedding.
P. Mishra +4 more
semanticscholar +1 more source
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection [PDF]
Knowledge Discovery and Data Mining, 2023 Time series anomaly detection is critical for a wide range of applications. It aims to identify deviant samples from the normal sample distribution in time series. The most fundamental challenge for this task is to learn a representation map that enables
Yiyuan Yang +4 more
semanticscholar +1 more source
Subspace-Based Anomaly Detection for Large-Scale Campus Network Traffic
Journal of Applied Mathematics, 2023 With the continuous development of information technology and the continuous progress of traffic bandwidth, the types and methods of network attacks have become more complex, posing a great threat to the large-scale campus network environment.
Xiaofeng Zhao, Qiubing Wu
doaj +1 more source
Improvement in detection of presence in forbidden locations in video anomaly using optical flow map [PDF]
هوش محاسباتی در مهندسی برق, 2023 Anomaly detection has been in researchers’ scope of study for a long time. The wide variety of anomaly detection use cases ranges from quality control in production lines to providing security in public places.
Mohammad Rahimpour +3 more
doaj +1 more source
Saliencycut: Augmenting Plausible Anomalies for Anomaly Detection
Pattern Recognition, 2023 Anomaly detection under open-set scenario is a challenging task that requires learning discriminative fine-grained features to detect anomalies that were even unseen during training. As a cheap yet effective approach, data augmentation has been widely used to create pseudo anomalies for better training of such models.
Jianan Ye +5 more
openaire +2 more sources
Network anomaly detection: a survey and comparative analysis of stochastic and deterministic methods [PDF]
, 2013 7 pages. 1 more figure than final CDC 2013 versionWe present five methods to the problem of network anomaly detection. These methods cover most of the common techniques in the anomaly detection field, including Statistical Hypothesis Tests (SHT), Support
Cassandras, C. G. +3 more
core +8 more sources
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 We critically appraise the recent interest in out-of-distribution (OOD) detection and question the practical relevance of existing benchmarks. While the currently prevalent trend is to consider different datasets as OOD, we argue that out-distributions of practical interest are ones where the distinction is semantic in nature for a specified context ...
Faruk Ahmed, Aaron Courville
openaire +4 more sources