Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery | Paper Citation Record

Observation fe9919f3-2fb7-4a50-9876-61eebd2da2d0 · outbound

This paper cites Backdoor learning: A survey.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Backdoor learning: A survey

Reference 1

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Observation 3f581a51-685b-4539-8851-3968568a4cba · outbound

This paper cites an unresolved cited work.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Unresolved cited work

Reference 2

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Observation 9946873e-b5ef-4a4e-a119-5c63d9731b11 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Communication-efficient learning of deep networks from decentralized data

Reference 3

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Observation 6df6f415-7767-402c-a6b2-263efe2804c5 · outbound

This paper cites Evolutionary principles in self-referential learning.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Evolutionary principles in self-referential learning

Reference 4

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Observation 523935f5-f8a4-4a17-bb55-448d250d9057 · outbound

This paper cites Thrun, Lifelong Learning Algorithms.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Thrun, Lifelong Learning Algorithms

Reference 5

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Observation 457cdad8-480d-4fb0-8464-bc6a85b77854 · outbound

This paper cites Building machines that learn and think like people.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Building machines that learn and think like people

Reference 6

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Observation e0689792-deb8-4cb3-b0bf-2f66699ea197 · outbound

This paper cites Online meta- learning.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Online meta- learning

Reference 7

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Observation 9bca60af-0ade-4e71-b07f-7be0585e28a0 · outbound

This paper cites Backdoor attacks against deep learning systems in the physi- cal world.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Backdoor attacks against deep learning systems in the physi- cal world

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.697115Z

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Observation 2256df8d-e7e3-405c-ae3c-53bf63152c1f · outbound

This paper cites BadNets: Evaluating backdooring attacks on deep neural networks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery BadNets: Evaluating backdooring attacks on deep neural networks

Reference 9

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Observation 622890b2-9dca-4d68-b071-504b301aba37 · outbound

This paper cites Invisible backdoor attack with sample-specific triggers.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Invisible backdoor attack with sample-specific triggers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.689016Z

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Observation 4c6e1971-c63b-4681-87ab-fe71d88fe021 · outbound

This paper cites Dynamic backdoor attacks against machine learning models.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Dynamic backdoor attacks against machine learning models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.751579Z

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Observation 08b6bc13-ccf0-429a-b01c-0c3c93533222 · outbound

This paper cites Poison ink: Robust and invisible backdoor attack.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Poison ink: Robust and invisible backdoor attack

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.721629Z

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Observation 7e4814f6-e649-4749-bc75-3191a9e303d0 · outbound

This paper cites Trojaning attack on neural networks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Trojaning attack on neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.810116Z

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Observation 28090a4f-42ff-4e23-969c-0cba5fd366b7 · outbound

This paper cites Witches’ brew: Industrial scale data poisoning via gradient matching.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Witches’ brew: Industrial scale data poisoning via gradient matching

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.878022Z

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Observation 7a363deb-2cd5-447e-9cf4-25be1a773792 · outbound

This paper cites Sleeper agent: Scalable hidden trigger backdoors for neural networks trained from scratch.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Sleeper agent: Scalable hidden trigger backdoors for neural networks trained from scratch

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.888384Z

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Observation 722a861f-3f94-4039-818f-b805ab85f7cd · outbound

This paper cites How to backdoor federated learning.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery How to backdoor federated learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.924653Z

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Observation 4c39d3a6-3373-4059-9b8e-f5de5e5b76f2 · outbound

This paper cites Back- door embedding in convolutional neural network models via invisible perturbation.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Back- door embedding in convolutional neural network models via invisible perturbation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.861279Z

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Observation 260e2948-c8c4-4d4e-9c6d-ed87c87c0195 · outbound

This paper cites Invisible backdoor attacks on deep neural networks via steganography and regularization.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Invisible backdoor attacks on deep neural networks via steganography and regularization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.874287Z

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Observation dc0256ed-bbba-497d-8166-6dc17290c604 · outbound

This paper cites An invisible black-box backdoor attack through frequency domain.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery An invisible black-box backdoor attack through frequency domain

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.854974Z

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Observation 3ee0a898-e56d-4f72-94ab-c293d4561fcb · outbound

This paper cites Spectral signatures in backdoor attacks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Spectral signatures in backdoor attacks

Reference 20

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Observation ddefdfec-53df-431f-a32d-cfad268636e4 · outbound

This paper cites Detecting backdoor attacks on deep neural networks by activation clustering.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Detecting backdoor attacks on deep neural networks by activation clustering

Reference 21

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Observation 7a25cacc-508e-4ad6-b940-e31f329b1a4f · outbound

This paper cites Demon in the variant: Sta- tistical analysis of DNNs for robust backdoor contamination detection.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Demon in the variant: Sta- tistical analysis of DNNs for robust backdoor contamination detection

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.849190Z

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Observation bc0a1bdd-f838-4561-bc8e-d7dd8f10e73c · outbound

This paper cites SPECTRE: defending against backdoor attacks using robust statistics.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery SPECTRE: defending against backdoor attacks using robust statistics

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.858046Z

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Observation c9bc4bc0-6648-43aa-afd6-28316171b285 · outbound

This paper cites Rethinking the backdoor attacks’ triggers: A frequency perspective.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Rethinking the backdoor attacks’ triggers: A frequency perspective

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.864195Z

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Observation 61465dd3-504d-4e4d-a4f9-52c63db2d015 · outbound

This paper cites Strong data augmentation sanitizes poisoning and backdoor attacks without an accuracy tradeoff.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Strong data augmentation sanitizes poisoning and backdoor attacks without an accuracy tradeoff

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.839852Z

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Observation 40a1b28d-0fd2-4686-ae7d-7bd2930c4911 · outbound

This paper cites CutMix: Reg- ularization strategy to train strong classifiers with localizable features.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery CutMix: Reg- ularization strategy to train strong classifiers with localizable features

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.830582Z

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Observation 3bf128f7-6dd7-41c9-9196-272e7ae51a59 · outbound

This paper cites Can you really backdoor federated learning?.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Can you really backdoor federated learning?

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.833722Z

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Observation 28ff41e1-b02c-4317-afc8-81db83977eef · outbound

This paper cites Robust anomaly detection and backdoor attack detection via differential privacy.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Robust anomaly detection and backdoor attack detection via differential privacy

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.842934Z

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Observation c2a50938-c3b5-486f-8f30-a198b64da73b · outbound

This paper cites Local and central differential privacy for robustness and privacy in federated learning.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Local and central differential privacy for robustness and privacy in federated learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.824399Z

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Observation 8153760e-5bf7-43fe-bf77-6557c90e9a13 · outbound

This paper cites Deep learning with differential privacy.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Deep learning with differential privacy

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.818456Z

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Observation ef9e1c5a-d3d7-493f-9398-34db5325093e · outbound

This paper cites Deep partition aggregation: Provable defenses against general poisoning attacks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Deep partition aggregation: Provable defenses against general poisoning attacks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.821281Z

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Observation 0f83b7a2-137d-4168-aa60-8d95e687c51f · outbound

This paper cites Intrinsic certified robustness of bagging against data poisoning attacks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Intrinsic certified robustness of bagging against data poisoning attacks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.935851Z

Source-reported events for the cited work

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Observation 7753c23d-df9b-446e-b543-29f6c83ed9c7 · outbound

This paper cites Certified robustness of nearest neighbors against data poisoning and backdoor attacks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Certified robustness of nearest neighbors against data poisoning and backdoor attacks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.827382Z

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Observation 7e794cc0-1623-40c8-a85f-5365ccd785f6 · outbound

This paper cites Bagging predictors.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Bagging predictors

Reference 34

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 35118885-de54-44bb-b119-a864d04197ee · outbound

This paper cites STRIP: A defence against trojan attacks on deep neural networks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery STRIP: A defence against trojan attacks on deep neural networks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.867899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9631830d-3675-4691-b66e-48750d9239b6 · outbound

This paper cites Deep probabilistic models to detect data poisoning attacks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Deep probabilistic models to detect data poisoning attacks

Reference 36

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation af8da50a-0e64-4fd0-8d9e-94aa1c964894 · outbound

This paper cites CleaNN: Accelerated trojan shield for embedded neural networks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery CleaNN: Accelerated trojan shield for embedded neural networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.798857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 534ff6bc-4ee5-42c3-81f3-e2451a5fbbe0 · outbound

This paper cites DeepSweep: An evaluation framework for mitigating DNN backdoor attacks using data augmentation.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery DeepSweep: An evaluation framework for mitigating DNN backdoor attacks using data augmentation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.793073Z

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Observation 3006753f-1374-4441-8f9c-b41ea70be328 · outbound

This paper cites Februus: Input purification defense against trojan attacks on deep neural network systems.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Februus: Input purification defense against trojan attacks on deep neural network systems

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.795853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b4c240dd-8eaa-4b04-be01-b6613ce38e80 · outbound

This paper cites Model agnostic defence against backdoor attacks in machine learning.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Model agnostic defence against backdoor attacks in machine learning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.812864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5b7458b0-7049-48de-9f7a-0675d0d1b3ec · outbound

This paper cites On certifying robust- ness against backdoor attacks via randomized smoothing.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery On certifying robust- ness against backdoor attacks via randomized smoothing

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.790305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 06d1365e-0791-442c-921f-fe9b0a6e8b0c · outbound

This paper cites Certified robustness to label-flipping attacks via randomized smoothing.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Certified robustness to label-flipping attacks via randomized smoothing

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.781643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 03078c70-8fba-45ea-908d-258a3aeebda5 · outbound

This paper cites RAB: Provable robustness against backdoor attacks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery RAB: Provable robustness against backdoor attacks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.784601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a2842f27-8997-4404-8fd6-549e6bed246b · outbound

This paper cites Universal litmus patterns: Revealing backdoor attacks in CNNs.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Universal litmus patterns: Revealing backdoor attacks in CNNs

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.787538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6f404c64-0115-4fdd-a0aa-3a33329f558d · outbound

This paper cites Detecting AI trojans using meta neural analysis.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Detecting AI trojans using meta neural analysis

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.801516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e4174d72-1f40-48c4-8550-3d8935bef598 · outbound

This paper cites One-pixel signature: Character- izing CNN models for backdoor detection.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery One-pixel signature: Character- izing CNN models for backdoor detection

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.767570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2456117b-c96c-471b-b164-3cee69884484 · outbound

This paper cites Practical detection of trojan neural networks: Data-limited and data- free cases.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Practical detection of trojan neural networks: Data-limited and data- free cases

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.762121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e01105fa-46b0-49a3-82f5-5e6c99e55587 · outbound

This paper cites Topological detection of trojaned neural networks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Topological detection of trojaned neural networks

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.764903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6124ee5a-0326-48e7-a289-92f25d708bfe · outbound

This paper cites Post-training detection of backdoor attacks for two-class and multi-attack scenarios.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Post-training detection of backdoor attacks for two-class and multi-attack scenarios

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.772969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a52dd185-b13e-4355-a14b-e1809eeaac22 · outbound

This paper cites Overcom- ing catastrophic forgetting in neural networks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Overcom- ing catastrophic forgetting in neural networks

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.757040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6110dee0-bcd1-4392-ac14-4b1898dc4c85 · outbound

This paper cites Neural trojans.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Neural trojans

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.735598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6b47dcf5-6c7d-48c9-8d97-033c54891409 · outbound

This paper cites Adversarial unlearning of backdoors via implicit hypergradient.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Adversarial unlearning of backdoors via implicit hypergradient

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.740838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3f078f78-ed55-4dc6-ad76-e145df672594 · outbound

This paper cites Distilling the knowledge in a neural network.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Distilling the knowledge in a neural network

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.754202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 646e5b40-0671-4cf9-97ff-b15b7bcd1be2 · outbound

This paper cites Disabling backdoor and identifying poison data by using knowledge distillation in backdoor attacks on deep neural networks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Disabling backdoor and identifying poison data by using knowledge distillation in backdoor attacks on deep neural networks

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.775863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bbc4c973-c680-4725-9823-a1f723d93291 · outbound

This paper cites Neural attention distillation: Erasing backdoor triggers from deep neural networks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Neural attention distillation: Erasing backdoor triggers from deep neural networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.729892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 69fe70cb-461f-4039-8e05-0d75423d0d22 · outbound

This paper cites Neural net pruning: Why and how.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Neural net pruning: Why and how

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.702364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ba69eca5-9263-4bb2-83a4-6bf2ec525e0d · outbound

This paper cites Fine-pruning: Defending against backdooring attacks on deep neural networks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Fine-pruning: Defending against backdooring attacks on deep neural networks

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.713819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2618feb8-5a99-465f-9dfe-fade72b0642f · outbound

This paper cites Adversarial neuron pruning purifies backdoored deep models.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Adversarial neuron pruning purifies backdoored deep models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.807097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d4c7de95-5957-44ed-8f2c-fc2b75bf198a · outbound

This paper cites Neural Cleanse: Identifying and mitigating backdoor attacks in neural networks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Neural Cleanse: Identifying and mitigating backdoor attacks in neural networks

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.939082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 25f35b19-8cb5-4038-a3f5-b54bc1b72418 · outbound

This paper cites Towards inspecting and eliminating trojan backdoors in deep neural networks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Towards inspecting and eliminating trojan backdoors in deep neural networks

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.914501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0fd06f52-7259-47fa-9832-13203eaa1369 · outbound

This paper cites Better trigger inversion optimization in backdoor scanning.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Better trigger inversion optimization in backdoor scanning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.718688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fc67d759-6eaa-4e7d-9b55-b507040baad1 · outbound

This paper cites Huxley, Brave New World.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Huxley, Brave New World

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.724362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7bff1a99-c16e-4b80-9202-b13bc1f17660 · outbound

This paper cites an unresolved cited work.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-05-23T21:08:26.710987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b6bf3f3e-a5b6-43d8-8435-7fec82cb22a8 · outbound

This paper cites Wiener, Cybernetics or Control and Communication in the Animal and the Machine.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Wiener, Cybernetics or Control and Communication in the Animal and the Machine

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.881006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 61eeefa5-debb-4574-a061-4236cbdd68ef · outbound

This paper cites The cybernetics of learning.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery The cybernetics of learning

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.884277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c43e9da3-4e76-41e2-9c5c-8efce608ac42 · outbound

This paper cites Motivated forgetting and the study of repression.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Motivated forgetting and the study of repression

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.738270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2994f6af-cbdc-40fb-beb3-c016b243bac3 · outbound

This paper cites Machine unlearning.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Machine unlearning

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.727070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 09798796-aec9-42cb-9340-98150db9422f · outbound

This paper cites Model inversion attacks that exploit confidence information and basic countermeasures.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Model inversion attacks that exploit confidence information and basic countermeasures

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.694306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e39385c5-0da5-482d-97f2-45aa5145316a · outbound

This paper cites Enhancement of eyewitness memory with the cognitive interview.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Enhancement of eyewitness memory with the cognitive interview

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.759409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ed373bea-9b77-4df2-9aca-d261d81b82f6 · outbound

This paper cites Statistics of mental imagery.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Statistics of mental imagery

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.699913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a65ce900-19e3-4c8c-b93c-388118b71d88 · outbound

This paper cites Mental representation.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Mental representation

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.691625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation be668352-09b5-4e67-bf0e-a79645b360e8 · outbound

This paper cites Representation, similarity, and the chorus of prototypes.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Representation, similarity, and the chorus of prototypes

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.682804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1eb89537-026d-4dbb-a172-e28eb622babb · outbound

This paper cites Sensory deprivation and hallu- cinations.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Sensory deprivation and hallu- cinations

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.770189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation af5012cb-3d1e-401b-ae7a-a09f962bb804 · outbound

This paper cites Intriguing properties of neural networks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Intriguing properties of neural networks

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.704973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d3af7bd6-7418-4c20-9b02-5fec5fa86eb5 · outbound

This paper cites Explaining and harnessing adversarial examples.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Explaining and harnessing adversarial examples

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.746263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 09c7251c-e8d2-4a59-9221-40a4e3ae162c · outbound

This paper cites Adversarial machine learning at scale.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Adversarial machine learning at scale

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.815428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 70957382-1fa6-447a-9cf4-8228138229c4 · outbound

This paper cites Ensemble adversarial training: Attacks and defenses.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Ensemble adversarial training: Attacks and defenses

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.917484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 17f64b1e-adc8-4d68-958e-1f87161f9d2f · outbound

This paper cites Adversarial training and robustness for multiple perturbations.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Adversarial training and robustness for multiple perturbations

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.906464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9eb872ae-890b-43d1-b66a-e694d81614c3 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Towards deep learning models resistant to adversarial attacks

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.910944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e71033cb-f7d9-4938-a0fc-d3e95fd3b9fd · outbound

This paper cites Gradient-based learning applied to document recognition.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Gradient-based learning applied to document recognition

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.920358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c8312ddf-f55d-420f-9143-a0870521a5f4 · outbound

This paper cites Learning multiple layers of features from tiny images.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Learning multiple layers of features from tiny images

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.932677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b18cd778-863f-4410-bfc0-c71d3ff81a10 · outbound

This paper cites Very deep convolutional neural network based image classification using small training sample size.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Very deep convolutional neural network based image classification using small training sample size

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.901297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 96fae858-1b98-498f-9593-c9dcc3a7a90a · outbound

This paper cites Deep residual learning for image recognition.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Deep residual learning for image recognition

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.892131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4565b197-09e8-4aa1-bd97-a4ba4a716adc · outbound

This paper cites Going deeper with convolutions.

Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery Going deeper with convolutions

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T21:08:26.896125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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