Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems | Paper Citation Record

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This paper cites A review of uncertainty quantification in deep learning: Techniques, applications and challenges.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems A review of uncertainty quantification in deep learning: Techniques, applications and challenges

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This paper cites why should i trust your ids?.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems why should i trust your ids?

Reference 2

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This paper cites Neural additive models: Interpretable machine learning with neural nets.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Neural additive models: Interpretable machine learning with neural nets

Reference 3

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This paper cites On the effective- ness of machine and deep learning for cyber security.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems On the effective- ness of machine and deep learning for cyber security

Reference 4

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This paper cites Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Explainable artificial intelligence (xai): Concepts, taxonomies, opportunities and challenges toward responsible ai

Reference 5

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This paper cites Reward shaping for happier autonomous cyber security agents.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Reward shaping for happier autonomous cyber security agents

Reference 6

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This paper cites A survey of deep learning methods for cyber security.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems A survey of deep learning methods for cyber security

Reference 7

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This paper cites Machine learning explainability in finance: an application to default risk analysis.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Machine learning explainability in finance: an application to default risk analysis

Reference 8

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This paper cites The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

Reference 9

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This paper cites A survey of data mining and machine learning methods for cyber security intrusion detection.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems A survey of data mining and machine learning methods for cyber security intrusion detection

Reference 10

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This paper cites A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems A View on Out-of-Distribution Identification from a Statistical Testing Theory Perspective

Reference 11

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This paper cites NODE-GAM: Neural generalized additive model for interpretable deep learning.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems NODE-GAM: Neural generalized additive model for interpretable deep learning

Reference 12

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This paper cites Explainable artificial intelligence for cybersecurity: a literature survey.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Explainable artificial intelligence for cybersecurity: a literature survey

Reference 13

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This paper cites The potential for artificial intelligence in healthcare.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems The potential for artificial intelligence in healthcare

Reference 14

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This paper cites Aleatory or epistemic? does it matter?Structural safety, 31(2):105–112, 2009.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Aleatory or epistemic? does it matter?Structural safety, 31(2):105–112, 2009

Reference 15

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Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Additive gaussian processes

Reference 16

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This paper cites CybORG++: An Enhanced Gym for the Development of Autonomous Cyber Agents.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems CybORG++: An Enhanced Gym for the Development of Autonomous Cyber Agents

Reference 17

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This paper cites Autonomous network defence using reinforce- ment learning.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Autonomous network defence using reinforce- ment learning

Reference 18

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This paper cites Inroads into Autonomous Network Defence using Explained Reinforcement Learning.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Inroads into Autonomous Network Defence using Explained Reinforcement Learning

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This paper cites Measuring network security using dynamic bayesian network.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Measuring network security using dynamic bayesian network

Reference 20

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Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems right to explanation

Reference 21

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This paper cites On calibration of modern neural networks.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems On calibration of modern neural networks

Reference 22

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Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Theory of disagreement-based active learning

Reference 23

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This paper cites Generalized additive models.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Generalized additive models

Reference 24

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This paper cites Autonomous cyber defence: Beyond games? Turing Technical Report, 2024.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Autonomous cyber defence: Beyond games? Turing Technical Report, 2024

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This paper cites Canaries and whistles: Resilient drone communication networks with (or without) deep reinforcement learning.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Canaries and whistles: Resilient drone communication networks with (or without) deep reinforcement learning

Reference 26

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This paper cites What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems What uncertainties do we need in bayesian deep learning for computer vision? Advances in neural information processing systems, 30, 2017

Reference 27

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Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 28

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Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Deep Neural Networks as Gaussian Processes

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This paper cites The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems The mythos of model interpretability: In machine learning, the concept of interpretability is both important and slippery

Reference 30

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Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems A unified approach to interpreting model predictions

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This paper cites Explaining Network Intrusion Detection System Using Explainable AI Framework.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Explaining Network Intrusion Detection System Using Explainable AI Framework

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This paper cites An adversarial approach for explainable ai in intrusion detection systems.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems An adversarial approach for explainable ai in intrusion detection systems

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This paper cites Adaptive webpage fingerprinting from tls traces.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Adaptive webpage fingerprinting from tls traces

Reference 34

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Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Interpretable machine learning

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Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Priors for infinite networks

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This paper cites Dynamic security risk management using bayesian attack graphs.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Dynamic security risk management using bayesian attack graphs

Reference 37

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This paper cites A unifying view of sparse approximate gaussian process regression.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems A unifying view of sparse approximate gaussian process regression

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This paper cites Neural basis models for interpretability.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Neural basis models for interpretability

Reference 39

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This paper cites Uncertainty quantification and deep ensembles.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Uncertainty quantification and deep ensembles

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This paper cites A survey of deep active learning.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems A survey of deep active learning

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Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems why should i trust you?

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Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Toward optimal active learning through monte carlo estimation of error reduction

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Observation d1ff0dd4-235f-4656-a8a7-f18ad36a0d44 · outbound

This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

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This paper cites Interpretable machine learning: Fundamental principles and 10 grand challenges.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Interpretable machine learning: Fundamental principles and 10 grand challenges

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This paper cites Active learning literature survey.University of Wisconsin-Madison Department of Computer Sciences, 2009.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Active learning literature survey.University of Wisconsin-Madison Department of Computer Sciences, 2009

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Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Query by committee

Reference 47

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This paper cites A value for n-person games.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems A value for n-person games

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This paper cites Outside the closed world: On using machine learning for network intrusion detection.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Outside the closed world: On using machine learning for network intrusion detection

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:44:17.982987Z

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This paper cites Entity-based Reinforcement Learning for Autonomous Cyber Defence.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Entity-based Reinforcement Learning for Autonomous Cyber Defence

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This paper cites An explainable machine learning framework for intrusion detection systems.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems An explainable machine learning framework for intrusion detection systems

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This paper cites Gaussian processes for machine learning, volume 2.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Gaussian processes for machine learning, volume 2

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This paper cites Using bayesian networks for cyber security analysis.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Using bayesian networks for cyber security analysis

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

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Generalized out-of-distribution detection: A survey

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Observation d3422835-ffc9-4a09-8568-947db843fa46 · outbound

This paper cites Interpretable probabilistic bayesian neural networks for cybersecu- rity intrusion detection.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Interpretable probabilistic bayesian neural networks for cybersecu- rity intrusion detection

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Observation f8aee29f-41f7-41ac-b4c8-a738be54c627 · outbound

This paper cites Towards trustworthy cybersecurity operations using bayesian deep learning to improve uncertainty quantification of anomaly detection.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Towards trustworthy cybersecurity operations using bayesian deep learning to improve uncertainty quantification of anomaly detection

Reference 56

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Observation 8d87c77e-1e84-41ac-9a0d-07b77b7ef65c · outbound

This paper cites Gaussian process neural additive models.

Inherently Interpretable and Uncertainty-Aware Models for Online Learning in Cyber-Security Problems Gaussian process neural additive models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:44:17.887909Z

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