A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security | Paper Citation Record

Observation 18353cc1-7fcd-4227-bfd5-0ee0c79889f1 · outbound

This paper cites IEEE Communications surveys & tutorials 18(2), 1153–1176 (2015).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security IEEE Communications surveys & tutorials 18(2), 1153–1176 (2015)

Reference 1

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This paper cites Internet of Things 16, 100462 (2021).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Internet of Things 16, 100462 (2021)

Reference 2

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This paper cites Future internet 12(3), 44 (2020).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Future internet 12(3), 44 (2020)

Reference 3

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This paper cites Journal of Network and Systems Management 29(2), 1–18 (2021).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Journal of Network and Systems Management 29(2), 1–18 (2021)

Reference 4

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This paper cites In: Proceedings of the 2004 ACM 29 Symposium on Applied Computing, pp.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: Proceedings of the 2004 ACM 29 Symposium on Applied Computing, pp

Reference 5

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This paper cites Computer Communications 188, 133–144 (2022).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Computer Communications 188, 133–144 (2022)

Reference 6

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This paper cites IEEE Internet of Things Journal (2022).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security IEEE Internet of Things Journal (2022)

Reference 7

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This paper cites technical eval- uation report.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security technical eval- uation report

Reference 8

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This paper cites Complexity 2021 (2021).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Complexity 2021 (2021)

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This paper cites Electronics 11(19), 3079 (2022).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Electronics 11(19), 3079 (2022)

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This paper cites Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response

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This paper cites In: CEUR Workshop Proceedings, pp.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: CEUR Workshop Proceedings, pp

Reference 13

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This paper cites In: 30th Annual Network and Distributed System Security Symposium (NDSS) (2023).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: 30th Annual Network and Distributed System Security Symposium (NDSS) (2023)

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This paper cites Interna- tional journal of advanced research in com- puter and communication engineering 4(6), 446–452 (2015).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Interna- tional journal of advanced research in com- puter and communication engineering 4(6), 446–452 (2015)

Reference 15

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This paper cites Why model why? Assessing the strengths and limitations of LIME.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Why model why? Assessing the strengths and limitations of LIME

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This paper cites In: 2020 IEEE European Symposium on Security and Pri- vacy (EuroS&P), pp.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: 2020 IEEE European Symposium on Security and Pri- vacy (EuroS&P), pp

Reference 17

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This paper cites "Why Should I Trust You?": Explaining the Predictions of Any Classifier.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security "Why Should I Trust You?": Explaining the Predictions of Any Classifier

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This paper cites Nature Machine Intelligence 2(1), 2522–5839 (2020).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Nature Machine Intelligence 2(1), 2522–5839 (2020)

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This paper cites In: Precup, D., Teh, Y.W.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: Precup, D., Teh, Y.W

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This paper cites In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R

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This paper cites Learning Important Features Through Propagating Activation Differences.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Learning Important Features Through Propagating Activation Differences

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This paper cites IEEE Access 12, 23954–23988 (2024) https://doi.org/10.1109/ ACCESS.2024.3365140.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security IEEE Access 12, 23954–23988 (2024) https://doi.org/10.1109/ ACCESS.2024.3365140

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This paper cites In: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, pp.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, pp

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This paper cites Sensors 21(13), 4319 (2021).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Sensors 21(13), 4319 (2021)

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This paper cites International Journal of Engineering & Technology 7(3.24), 479–482 (2018).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security International Journal of Engineering & Technology 7(3.24), 479–482 (2018)

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This paper cites In: 2020 Interna- tional Symposium on Theoretical Aspects of Software Engineering (TASE), pp.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: 2020 Interna- tional Symposium on Theoretical Aspects of Software Engineering (TASE), pp

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security IEEE Access 8, 73127–73141 (2020) https://doi.org/10.1109/ ACCESS.2020.2988359

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security why should i trust your ids?

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This paper cites IEEE Internet of Things Magazine 5(2), 20–23 (2022) https://doi.org/10.1109/ IOTM.005.2200028.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security IEEE Internet of Things Magazine 5(2), 20–23 (2022) https://doi.org/10.1109/ IOTM.005.2200028

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This paper cites Knowledge-Based Systems 263, 110273 (2023) https://doi.org/ 10.1016/j.knosys.2023.110273 31.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Knowledge-Based Systems 263, 110273 (2023) https://doi.org/ 10.1016/j.knosys.2023.110273 31

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security ACM Comput

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Information Fusion 58, 82–115 (2020) https://doi.org/10

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security AI Mag- azine 40(2), 44–58 (2019) https://doi.org/10

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This paper cites IEEE Transactions on Neural Net- works and Learning Systems 32(11), 4793– 4813 (2021) https://doi.org/10.1109/tnnls.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security IEEE Transactions on Neural Net- works and Learning Systems 32(11), 4793– 4813 (2021) https://doi.org/10.1109/tnnls

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: Technical Report

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Knowledge-Based Systems 244, 108505 (2022) https://doi.org/10.1016/ j.knosys.2022.108505

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: Inter- national Workshop on Recent Advances in Intrusion Detection, pp

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: 2019 IEEE Security and Privacy Work- shops (SPW), pp

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Univeristy of California, Department of Com- puter Science and Engineering (2003)

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This paper cites IEEE Access 8, 132911–132921 (2020) https: //doi.org/10.1109/ACCESS.2020.3009843.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security IEEE Access 8, 132911–132921 (2020) https: //doi.org/10.1109/ACCESS.2020.3009843

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This paper cites Sensors 21(13) (2021) https://doi.org/10.3390/s21134319.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Sensors 21(13) (2021) https://doi.org/10.3390/s21134319

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security https://attack.mitre.org/techniques/ T1189/

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This paper cites In: Pro- ceedings of the 16th ACM Conference on Computer and Communications Security, pp.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: Pro- ceedings of the 16th ACM Conference on Computer and Communications Security, pp

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Unresolved cited work

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: Proceedings of the 2021 ACM SIGSAC Conference on Computer and Com- munications Security, pp

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This paper cites In: Detection of Intrusions and Malware, and Vulnerability Assessment: 18th International Conference, DIMV A 2021, Virtual Event, July 14–16, 2021, Proceedings 18, pp.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: Detection of Intrusions and Malware, and Vulnerability Assessment: 18th International Conference, DIMV A 2021, Virtual Event, July 14–16, 2021, Proceedings 18, pp

Reference 53

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This paper cites Google Patents.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Google Patents

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:06.067774Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5084cd76-75d9-4379-ae5d-79cc6d2c7524 · outbound

This paper cites IEEE Access 8, 70245–70261 (2020).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security IEEE Access 8, 70245–70261 (2020)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:06.054592Z

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Observation 465ca580-05df-4423-a8ab-0cc82c613cbc · outbound

This paper cites Computers & Security 106, 102287 (2021).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Computers & Security 106, 102287 (2021)

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:06.040479Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation da363d85-64b0-4d86-bde0-aad368eff6e7 · outbound

This paper cites Cognitive Systems Research 86, 101243 (2024) https: //doi.org/10.1016/j.cogsys.2024.101243.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Cognitive Systems Research 86, 101243 (2024) https: //doi.org/10.1016/j.cogsys.2024.101243

Reference 57

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:40:05.213889Z

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Observation c411fb82-ca54-439a-8dec-2c8c353d3cb2 · outbound

This paper cites Machine Learning in Cyber-Security - Problems, Challenges and Data Sets.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Machine Learning in Cyber-Security - Problems, Challenges and Data Sets

Reference 58

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Observation f646b477-9f99-4dac-aa0e-bddb17134a0e · outbound

This paper cites IEEE Access 10, 93575–93600 (2022).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security IEEE Access 10, 93575–93600 (2022)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:06.026186Z

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Observation 00d2f566-69c8-4cde-8056-df58c4294440 · outbound

This paper cites In: Precup, D., Teh, Y.W.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: Precup, D., Teh, Y.W

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:06.358835Z

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Observation 6d7371df-355d-4d8b-baf3-3c5eac0be39f · outbound

This paper cites https://www.ntop.org/guides/ nprobe/flow information elements.html.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security https://www.ntop.org/guides/ nprobe/flow information elements.html

Reference 61

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T20:40:06.011998Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9d306c3b-c357-437b-8710-746e2c106726 · outbound

This paper cites https://shorturl.at/qM4V5.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security https://shorturl.at/qM4V5

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:05.998062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 43fadbbc-364c-47b6-aef2-cd3159394b2f · outbound

This paper cites In: 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications, pp.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications, pp

Reference 63

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security https://doi.org/10

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:05.983650Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ed40e5fd-b8a6-4c77-a5c4-ec38f9fb9922 · outbound

This paper cites Technical report (2004).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Technical report (2004)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:05.969343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b4308c31-8b72-4ffa-9247-b9b3e81aab95 · outbound

This paper cites Software Networking 2018(1), 177–200 (2018).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Software Networking 2018(1), 177–200 (2018)

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:05.952635Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 70b424dc-5c98-4a67-ae93-03b6aaf9bdce · outbound

This paper cites techreport (2017).

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security techreport (2017)

Reference 67

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T20:40:05.936726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4262ba6b-83da-41dd-9dbb-e12758e411f2 · outbound

This paper cites https: //shorturl.at/6fke4.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security https: //shorturl.at/6fke4

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:05.922302Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0ece3c3a-ba36-4d5a-9582-6fdf691571f9 · outbound

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:40:05.907660Z

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This paper cites http://traces.cs.umass.edu/index.php/ Network/Network.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security http://traces.cs.umass.edu/index.php/ Network/Network

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:05.893012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 66570364-af7f-4ca5-af60-dfe7f792c33d · outbound

This paper cites In: 2015 Military Communications and 33 Information Systems Conference (MilCIS), pp.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: 2015 Military Communications and 33 Information Systems Conference (MilCIS), pp

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:40:05.877162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3742175e-8107-460c-8902-b463ea2e2a7b · outbound

This paper cites Learning how to explain neural networks: PatternNet and PatternAttribution.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Learning how to explain neural networks: PatternNet and PatternAttribution

Reference 72

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Observation 8a78f759-97d2-4b21-bfac-258eba7daec8 · outbound

This paper cites Visualizing and Understanding Convolutional Networks.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Visualizing and Understanding Convolutional Networks

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:04.840926Z

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Observation 004ba8ed-5e9c-4558-9b66-c6fb497a6f7c · outbound

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A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Striving for Simplicity: The All Convolutional Net

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:04.845738Z

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Unavailable: canonical work link unavailable.

Observation c914d44b-6beb-4d84-bba9-db3acdfbedc0 · outbound

This paper cites In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:04.850450Z

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Unavailable: canonical work link unavailable.

Observation 997a31eb-a359-43a1-a740-779a6c6f5c8f · outbound

This paper cites In: 2017 IEEE International Conference on Com- puter Vision (ICCV), pp.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: 2017 IEEE International Conference on Com- puter Vision (ICCV), pp

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T20:40:04.854912Z

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Unavailable: canonical work link unavailable.

Observation 83438108-06ba-4412-825b-4981d428af43 · outbound

This paper cites In: 2018 IEEE Winter Conference on Applica- tions of Computer Vision (W ACV), pp.

A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security In: 2018 IEEE Winter Conference on Applica- tions of Computer Vision (W ACV), pp

Reference 77

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Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers