Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection | Paper Citation Record

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This paper cites A step-by- step training method for multi generator gans with application to anomaly detection and cybersecurity.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection A step-by- step training method for multi generator gans with application to anomaly detection and cybersecurity

Reference 1

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Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Unresolved cited work

Reference 2

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Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Unresolved cited work

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This paper cites Computer security threat monitoring and surveil- lance.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Computer security threat monitoring and surveil- lance

Reference 4

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This paper cites A review on application of gans in cybersecurity domain.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection A review on application of gans in cybersecurity domain

Reference 5

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This paper cites A Benchmark of Medical Out of Distribution Detection.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection A Benchmark of Medical Out of Distribution Detection

Reference 6

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Observation 35b2fdd5-7fb1-4d43-90c2-7d3c56d6d202 · outbound

This paper cites Deep Learning for Anomaly Detection: A Survey.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Deep Learning for Anomaly Detection: A Survey

Reference 7

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Observation 8e6f1b86-e1e3-4f84-8132-7fa58433bf01 · outbound

This paper cites Deep generative model with hierarchical latent factors for time series anomaly detection, in: Camps-Valls, G., Ruiz, F.J.R., Valera, I.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Deep generative model with hierarchical latent factors for time series anomaly detection, in: Camps-Valls, G., Ruiz, F.J.R., Valera, I

Reference 8

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This paper cites Anomaly detection: A survey.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Anomaly detection: A survey

Reference 9

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This paper cites Semi-supervised anomaly detection via reinforcement learning-enabled method with causal inference.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Semi-supervised anomaly detection via reinforcement learning-enabled method with causal inference

Reference 10

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Observation a17b8947-28d2-4aad-a74b-e0f96bbe59ae · outbound

This paper cites On tensors, sparsity, and nonnega- tive factorizations.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection On tensors, sparsity, and nonnega- tive factorizations

Reference 11

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Observation dbaab17b-1085-4e78-ad89-1c1adb547402 · outbound

This paper cites Classification of red team authentication events in an enterprise network, in: Machine Learning and Knowledge Dis- covery for Cybersecurity.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Classification of red team authentication events in an enterprise network, in: Machine Learning and Knowledge Dis- covery for Cybersecurity

Reference 12

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This paper cites An intrusion-detection model.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection An intrusion-detection model

Reference 13

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Observation 32940459-f1e1-41d7-b33a-6f19d07e42b3 · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection NICE: Non-linear Independent Components Estimation

Reference 14

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This paper cites Density estimation using Real NVP.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Density estimation using Real NVP

Reference 15

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This paper cites A compre- hensive survey of generative adversarial networks (gans) in cybersecu- rity intrusion detection.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection A compre- hensive survey of generative adversarial networks (gans) in cybersecu- rity intrusion detection

Reference 16

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This paper cites Variationalautoencodersusingconvolutional neural network for highly advanced cyber threats, in: 2024 IEEE Inte- grated STEM Education Conference (ISEC), pp.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Variationalautoencodersusingconvolutional neural network for highly advanced cyber threats, in: 2024 IEEE Inte- grated STEM Education Conference (ISEC), pp

Reference 17

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This paper cites Multi-dimensional anomalous entity detection via poisson tensor factorization, in: 2020 IEEE International Conference on Intelligence and Security Informatics (ISI), pp.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Multi-dimensional anomalous entity detection via poisson tensor factorization, in: 2020 IEEE International Conference on Intelligence and Security Informatics (ISI), pp

Reference 18

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This paper cites pycp_apr.https://github.com/lanl/pyCP_ APR.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection pycp_apr.https://github.com/lanl/pyCP_ APR

Reference 19

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Observation 0d3a216a-f452-49d1-b67d-6298b37d6a53 · outbound

This paper cites General-purpose unsupervised cy- ber anomaly detection via non-negative tensor factorization.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection General-purpose unsupervised cy- ber anomaly detection via non-negative tensor factorization

Reference 20

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This paper cites Using collab- orative filtering to weave an information tapestry.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Using collab- orative filtering to weave an information tapestry

Reference 21

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Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Unresolved cited work

Reference 22

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Observation 1d8ea9e9-b4a2-4fc0-8431-69dcb1ad1d95 · outbound

This paper cites A normalizing flow- based semi-supervised method for imbalanced network intrusion detec- tion.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection A normalizing flow- based semi-supervised method for imbalanced network intrusion detec- tion

Reference 23

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Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Unresolved cited work

Reference 24

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Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Unresolved cited work

Reference 25

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Observation 32d916b6-d1d5-4220-93f9-baf192fdf8df · outbound

This paper cites Why normal- izing flows fail to detect out-of-distribution data, in: Advances in Neural Information Processing Systems (NeurIPS), pp.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Why normal- izing flows fail to detect out-of-distribution data, in: Advances in Neural Information Processing Systems (NeurIPS), pp

Reference 26

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This paper cites Normalizing flows: An introduction and review of current methods.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Normalizing flows: An introduction and review of current methods

Reference 27

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This paper cites Msattnflow: Normalizing flow for unsuper- vised anomaly detection with multi-scale attention.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Msattnflow: Normalizing flow for unsuper- vised anomaly detection with multi-scale attention

Reference 28

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This paper cites The Program with a Personality: Analysis of Elk Cloner, the First Personal Computer Virus.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection The Program with a Personality: Analysis of Elk Cloner, the First Personal Computer Virus

Reference 29

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This paper cites Hyperband: A novel bandit-based approach to hyperparameter optimization.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Hyperband: A novel bandit-based approach to hyperparameter optimization

Reference 30

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This paper cites Anomaly detection in large-scale networks with latent space mod- els.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Anomaly detection in large-scale networks with latent space mod- els

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This paper cites Do deep generative models know what they don’t know?, in: International Conference on Learning Representations (ICLR).

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Do deep generative models know what they don’t know?, in: International Conference on Learning Representations (ICLR)

Reference 32

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This paper cites Phishnet- vae cybersecurity approach: An integrated variational autoencoder and deep neural network approach for enhancing cybersecurity strategies by detecting phishing attacks.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Phishnet- vae cybersecurity approach: An integrated variational autoencoder and deep neural network approach for enhancing cybersecurity strategies by detecting phishing attacks

Reference 33

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Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Unresolved cited work

Reference 34

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Observation a2b7ee69-5200-4790-a87e-79fa64357c44 · outbound

This paper cites Normalizing flows for probabilistic modeling and inference.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Normalizing flows for probabilistic modeling and inference

Reference 35

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Observation 603478ca-d659-4f50-99e2-f986af8c2479 · outbound

This paper cites Graph link prediction in computer networks using Poisson matrix factorisation.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Graph link prediction in computer networks using Poisson matrix factorisation

Reference 36

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This paper cites Understanding likelihood of normalizing flow and image complexity through the lens of out-of- distribution detection.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Understanding likelihood of normalizing flow and image complexity through the lens of out-of- distribution detection

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Observation 89a68fb5-fee9-41cb-9f3a-6d2d821755db · outbound

This paper cites Likelihood ratios for out-of-distribution de- tection, in: Advances in Neural Information Processing Sys- tems (NeurIPS).

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Likelihood ratios for out-of-distribution de- tection, in: Advances in Neural Information Processing Sys- tems (NeurIPS)

Reference 38

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This paper cites Same same but differnet: Semi-supervised defect detection with normalizing flows, in: Proceed- ings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Same same but differnet: Semi-supervised defect detection with normalizing flows, in: Proceed- ings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp

Reference 39

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Observation 9ea67bd8-88d9-482b-aea5-e2cff8b554d3 · outbound

This paper cites Time of day anomaly detection, in: 2018 European Intelligence and Security Infor- matics Conference (EISIC), IEEE.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Time of day anomaly detection, in: 2018 European Intelligence and Security Infor- matics Conference (EISIC), IEEE

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Observation df3f9d20-82f0-48bc-942c-1b6ed4d695c3 · outbound

This paper cites Input complexity and out-of-distribution detection with likelihood-based generative models, in: International Conference on Learning Representations (ICLR).

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Input complexity and out-of-distribution detection with likelihood-based generative models, in: International Conference on Learning Representations (ICLR)

Reference 41

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This paper cites Generative Adversarial Networks (GAN) In- sights for Cyber Security Applications.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Generative Adversarial Networks (GAN) In- sights for Cyber Security Applications

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Observation fd05dc22-0726-42b5-9df1-752a73079035 · outbound

This paper cites Variational Autoencoder (VAE) for Anomaly De- tection in Network Traffic.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Variational Autoencoder (VAE) for Anomaly De- tection in Network Traffic

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Observation 05c601f1-3d7e-427e-93ff-097ee0d479f2 · outbound

This paper cites Using variational autoen- coders with machine learning algorithms in cyber security applications.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Using variational autoen- coders with machine learning algorithms in cyber security applications

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This paper cites Poisson fac- torization for peer-based anomaly detection, in: 2016 IEEE Confer- ence on Intelligence and Security Informatics (ISI), IEEE.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Poisson fac- torization for peer-based anomaly detection, in: 2016 IEEE Confer- ence on Intelligence and Security Informatics (ISI), IEEE

Reference 45

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This paper cites Prediction of industrial cyber attacks using normalizing flows.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Prediction of industrial cyber attacks using normalizing flows

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Observation 1b84523a-a4c7-41e3-83e6-b834f600aa49 · outbound

This paper cites Maximizing anomalydetectionperformanceusinglatentvariablemodelsinindustrial systems.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Maximizing anomalydetectionperformanceusinglatentvariablemodelsinindustrial systems

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This paper cites Application of uncertainty to out-of-distribution detection for autonomous driving perception safety.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Application of uncertainty to out-of-distribution detection for autonomous driving perception safety

Reference 48

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This paper cites Unified Host and Network Data Set.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Unified Host and Network Data Set

Reference 49

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This paper cites Understanding fail- ures in out-of-distribution detection with deep generative models, in: 32 Proceedings of the 38th International Conference on Machine Learning (ICML), pp.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Understanding fail- ures in out-of-distribution detection with deep generative models, in: 32 Proceedings of the 38th International Conference on Machine Learning (ICML), pp

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This paper cites Improving out-of-distribution detection in normalizing flows with synthetic outliers.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Improving out-of-distribution detection in normalizing flows with synthetic outliers

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This paper cites Generalized out-of-distribution detection: A survey.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Generalized out-of-distribution detection: A survey

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This paper cites Msflow: Multi- scale flow-based framework for unsupervised anomaly detection.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Msflow: Multi- scale flow-based framework for unsupervised anomaly detection

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This paper cites Semi- supervised anomaly detection via neural process.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Semi- supervised anomaly detection via neural process

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Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Unresolved cited work

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Observation 4da319ea-372e-4288-8ff3-7e7d6fbe775b · outbound

This paper cites Out-of-distribution Detection in Medical Image Analysis: A survey.

Hybrid Latent-Structural Fusion (HLSF) for Cyber Anomaly Detection Out-of-distribution Detection in Medical Image Analysis: A survey

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