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yzhao062 / pyod

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ExpediaDotCom / adaptive-alerting

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DetectorRepositoryImpl.findByUuid() assumes at least one result

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williewheeler
williewheeler commented Oct 29, 2019

In the following code

    @Override
    public DetectorDocument findByUuid(String uuid) {
        val queryBuilder = QueryBuilders.termQuery("uuid", uuid);
        val searchSourceBuilder = elasticsearchUtil.getSourceBuilder(queryBuilder).size(DEFAULT_ES_RESULTS_SIZE);
        val searchRequest = elasticsearchUtil.getSearchRequest(searchSourceBuilder, DETECTOR_INDEX, DETECTOR_DOC_TYPE)
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Fraunhofer-AISEC / A3

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Inspired by recent advances in coverage-guided analysis of neural networks, we propose a novel anomaly detection method. We show that the hidden activation values contain information useful to distinguish between normal and anomalous samples. Our approach combines three neural networks in a purely data-driven end-to-end model. Based on the activation values in the target network, the alarm network decides if the given sample is normal. Thanks to the anomaly network, our method even works in strict semi-supervised settings. Strong anomaly detection results are achieved on common data sets surpassing current baseline methods. Our semi-supervised anomaly detection method allows to inspect large amounts of data for anomalies across various applications.

data-mining paper semi-supervised-learning anomaly anomaly-detection tensorflow2 ecml-pkdd activation-analysis activation-anomaly-analysis
  • Updated Apr 22, 2021
  • Python

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