Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security | Paper Citation Record

Observation 960cd3e6-3e0f-4a57-a76c-d076d73590f4 · outbound

This paper cites What is a botnet?.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security What is a botnet?

Reference 1

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Observation 92ea933a-b3aa-42fb-9708-83640e6debf5 · outbound

This paper cites Mirai ddos attack on dyn case study,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Mirai ddos attack on dyn case study,

Reference 2

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Observation 95329910-b078-48ae-8c8e-9cf470c8d314 · outbound

This paper cites What is gdpr?.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security What is gdpr?

Reference 3

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Observation 994df951-759c-4fe8-8f20-5441a0fb70c8 · outbound

This paper cites Detecting information theft attacks in the bot-iot dataset,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Detecting information theft attacks in the bot-iot dataset,

Reference 4

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Observation bd7b61ed-6932-4393-b2d9-37ab9cf14835 · outbound

This paper cites An intrusion detection system using bot-iot,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security An intrusion detection system using bot-iot,

Reference 6

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Observation 02b98d17-c012-45d6-be23-cf1c06ae76d1 · outbound

This paper cites A novel method for malware detection using audio signal processing techniques,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A novel method for malware detection using audio signal processing techniques,

Reference 7

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Observation c06dbc13-3d2a-4ead-904b-86398c6d087f · outbound

This paper cites A survey of malware detection using deep learning,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A survey of malware detection using deep learning,

Reference 8

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Observation b89c6d3f-4c91-49b2-bd49-215792fe11d0 · outbound

This paper cites Machine Unlearning: A Comprehensive Survey.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Machine Unlearning: A Comprehensive Survey

Reference 9

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Observation 9e17cb95-ce47-4b2f-8736-2722630d6f55 · outbound

This paper cites A lightweight malware detection model based on knowledge distillation.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A lightweight malware detection model based on knowledge distillation

Reference 10

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Observation 33de8177-6dec-45d4-944e-159d2b92ad59 · outbound

This paper cites Explainability in ai-based behavioral malware detection systems,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Explainability in ai-based behavioral malware detection systems,

Reference 11

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Observation 7bb72590-b48f-4fe8-b14d-574b7ae7bb52 · outbound

This paper cites Machine learning-based early detection of iot botnets using network-edge traffic,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Machine learning-based early detection of iot botnets using network-edge traffic,

Reference 12

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Observation b3d4bf21-1c16-4ff7-85cf-75bf0926a144 · outbound

This paper cites Paired: An explainable lightweight android malware detection system,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Paired: An explainable lightweight android malware detection system,

Reference 13

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Observation 4b372cb3-b1ca-486e-8aa9-4a0c5b6f8808 · outbound

This paper cites Assessing llms in malicious code deobfuscation of real-world malware campaigns,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Assessing llms in malicious code deobfuscation of real-world malware campaigns,

Reference 14

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Observation 82a0f1b5-71fd-4fc4-bf5b-c4ab15ac64cb · outbound

This paper cites A privacy-enhanced framework with deep learning for botnet detection,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A privacy-enhanced framework with deep learning for botnet detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T18:37:31.632033Z

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Observation ad4796a3-0e77-4e4e-a667-f2eb164cec32 · outbound

This paper cites Reinforcement learning for iot security: A comprehensive survey,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Reinforcement learning for iot security: A comprehensive survey,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T18:37:31.590721Z

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Observation dbffc1e4-b84a-4105-ae60-0173fa050935 · outbound

This paper cites Asynchronous advantage actor-critic (a3c) learning for cognitive network security,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Asynchronous advantage actor-critic (a3c) learning for cognitive network security,

Reference 17

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Observation 0008fe5f-818f-4ab7-b591-e306f086c719 · outbound

This paper cites Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-iot dataset.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Towards the development of realistic botnet dataset in the internet of things for network forensic analytics: Bot-iot dataset

Reference 18

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Observation f3b379fa-4c1c-48e1-a55d-766dd89725a9 · outbound

This paper cites A comparative review of smote and adasyn in imbalanced data classification,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A comparative review of smote and adasyn in imbalanced data classification,

Reference 19

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Observation a094adfa-2c64-4d9c-a15c-c913a0f7cce7 · outbound

This paper cites Smote: synthetic minority over-sampling technique.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Smote: synthetic minority over-sampling technique

Reference 20

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Observation af414667-f6eb-4a89-acda-79c3476bfbeb · outbound

This paper cites Epileptic seizure detection using deep learning through min max scaler normalization,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Epileptic seizure detection using deep learning through min max scaler normalization,

Reference 21

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This paper cites Reinforcement learning,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Reinforcement learning,

Reference 22

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Observation 3e37142a-6dda-4c58-b758-2c3080d447a3 · outbound

This paper cites Reinforcement learning for iot security: A comprehensive survey,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Reinforcement learning for iot security: A comprehensive survey,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T18:37:31.618395Z

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Observation b2f8b32e-9b4b-49f7-8d33-d289d91b62bc · outbound

This paper cites Actor-critic methods — tensorflow reinforcement learning,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Actor-critic methods — tensorflow reinforcement learning,

Reference 24

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Observation eb7be16d-1c18-4676-91e8-5a73fc1831ab · outbound

This paper cites Knowledge distillation: A survey.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Knowledge distillation: A survey

Reference 25

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Observation 38cf2cbf-8f58-4302-9c74-aaa184827910 · outbound

This paper cites Improved knowledge distillation with teacher-student adaptation for efficient neural network compression,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Improved knowledge distillation with teacher-student adaptation for efficient neural network compression,

Reference 26

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Observation a15d9890-c788-4e40-abad-1883a74ff9c1 · outbound

This paper cites The price of forgetting: Incentive mech- anism design for machine unlearning,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security The price of forgetting: Incentive mech- anism design for machine unlearning,

Reference 27

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Observation 87ccca2b-8ee7-4e18-bd1a-c7bcf4c60957 · outbound

This paper cites Learn to forget: Machine unlearning via neuron masking,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Learn to forget: Machine unlearning via neuron masking,

Reference 28

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Observation 273d529a-ed7c-4c4f-9efd-00773766ea7d · outbound

This paper cites Machine unlearning by reversing the continual learning,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Machine unlearning by reversing the continual learning,

Reference 29

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Observation 077fd0f1-bd3b-4ca5-9ceb-1812588e0391 · outbound

This paper cites arXiv preprint arXiv:2501.14182 (2025).

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security arXiv preprint arXiv:2501.14182 (2025)

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-07-10T18:37:31.198881Z

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Observation 2840fca5-a934-4f43-8e73-ed3fe6c2f1f1 · outbound

This paper cites ”why should i trust you?.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security ”why should i trust you?

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T18:37:31.671491Z

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Observation b311838e-ca0a-44ad-8dcf-91631450cd52 · outbound

This paper cites Anomaly detection and localization in nfv systems by utilizing masked- autoencoder and xai,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Anomaly detection and localization in nfv systems by utilizing masked- autoencoder and xai,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T18:37:31.673383Z

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Observation b3316656-0951-4a7f-a82f-184c1f724ee0 · outbound

This paper cites Explaining explanations: An overview of interpretability of machine learning.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Explaining explanations: An overview of interpretability of machine learning

Reference 33

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Observation ad8cf0df-e6a3-442e-a728-39df525d43f7 · outbound

This paper cites Kronnet a lightweight kronecker enhanced feed forward neural network for efficient iot intrusion detection,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Kronnet a lightweight kronecker enhanced feed forward neural network for efficient iot intrusion detection,

Reference 34

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Observation 3dc66850-6a3a-4a72-abf9-c07dd0b0f4d8 · outbound

This paper cites A lightweight intrusion detection method for iot based on deep learning and dynamic quantization. peerj comput. sci. 9, e1569 (2023).

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A lightweight intrusion detection method for iot based on deep learning and dynamic quantization. peerj comput. sci. 9, e1569 (2023)

Reference 35

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Observation ac13bcf0-d53c-4840-8ee8-2deb199855d4 · outbound

This paper cites A lightweight network intrusion detec- tion method based on protocol-aware dynamic inverted residuals and a sliding-window multi-batch self-knowledge distillation strategy,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A lightweight network intrusion detec- tion method based on protocol-aware dynamic inverted residuals and a sliding-window multi-batch self-knowledge distillation strategy,

Reference 36

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Observation ec75b934-7dc0-4097-8064-259c2d8dcb37 · outbound

This paper cites Lightweight intrusion detection model of the internet of things with hybrid cloud-fog computing,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Lightweight intrusion detection model of the internet of things with hybrid cloud-fog computing,

Reference 37

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Observation c3a42a96-f33e-4633-abeb-560026b7ca64 · outbound

This paper cites A lightweight in- trusion detection system with dynamic feature fusion federated learning for vehicular network security,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security A lightweight in- trusion detection system with dynamic feature fusion federated learning for vehicular network security,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T18:37:31.574502Z

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Observation 99660634-9e34-4003-b98f-6e818cec585b · outbound

This paper cites Cer-feaun: Certified feature unlearning in vertical federated learning,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Cer-feaun: Certified feature unlearning in vertical federated learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T18:37:31.576601Z

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Observation d4273865-5733-41a0-9a1c-992a030a8e7b · outbound

This paper cites Verifi: Towards verifiable federated unlearning,.

Unlearning to Protect: A Distilled Reinforcement Learning Framework with Privacy-Preserving Feature Unlearning and XAI for IoT Security Verifi: Towards verifiable federated unlearning,

Reference 40

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