Paper Citation Record · LEDGER

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2506.17350.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.17350 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:26:17.983977Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:17:58.321800Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T21:17:59.990957Z

Reference resolution

46 of 46 outbound references displayed

verified exact0
verified fuzzy43
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16f9be39-bb7c-43ca-a041-80919506b701 · outbound

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

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks BadNets: Evaluating backdooring attacks on deep neural networks,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.527816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 684493c6-1d80-43c4-9792-e89804de3921 · outbound

This paper cites Imperceptible Backdoor Attack: From input space to feature representation,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Imperceptible Backdoor Attack: From input space to feature representation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.515741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ba48dc83-037c-4ed7-aaa2-5e05d39887bc · outbound

This paper cites Bypassing backdoor detection algorithms in deep learning,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Bypassing backdoor detection algorithms in deep learning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.505038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 561dfa26-eef4-4330-8d8d-b88731737022 · outbound

This paper cites Expose backdoors on the way: A feature-based efficient defense against textual backdoor attacks,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Expose backdoors on the way: A feature-based efficient defense against textual backdoor attacks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.493136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9af6f73f-5a3f-4ef9-828a-43fce9272825 · outbound

This paper cites Explaining and harnessing adversarial examples,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Explaining and harnessing adversarial examples,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.482381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9d1b9b9d-277b-460f-ab97-c64baeb6c1ca · outbound

This paper cites Universal adversarial perturbations,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Universal adversarial perturbations,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.471988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9dc18879-97e3-4ec1-ab29-74c75fdc53b5 · outbound

This paper cites Wanet - imperceptible warping-based backdoor attack,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Wanet - imperceptible warping-based backdoor attack,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.461511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8cdfc08e-0153-4dee-903d-e93c919e51f4 · outbound

This paper cites Hidden trigger backdoor attacks,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Hidden trigger backdoor attacks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.451357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 205dbc69-92eb-4652-9884-1cb881f86afc · outbound

This paper cites Deep feature space trojan attack of neural networks by controlled detoxification,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Deep feature space trojan attack of neural networks by controlled detoxification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.441016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 64c5551c-a0d5-4876-ae93-5cbbc1e63d7e · outbound

This paper cites LIRA: learnable, imperceptible and robust backdoor attacks,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks LIRA: learnable, imperceptible and robust backdoor attacks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.430161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33cfe483-5179-412a-ae57-790e47a9edd9 · outbound

This paper cites Blind backdoors in deep learning models,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Blind backdoors in deep learning models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.418561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 873e5a6a-4fdd-488c-9351-5cf2c1e45f6c · outbound

This paper cites Backdoor attack with imperceptible input and latent modification,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Backdoor attack with imperceptible input and latent modification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.407335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dfc47989-fa31-4429-935b-4b47054e2ed1 · outbound

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

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Invisible backdoor attack with sample-specific triggers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.395589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33a25726-8118-4694-8d76-9efff67e494b · outbound

This paper cites Marksman backdoor: Backdoor attacks with arbitrary target class,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Marksman backdoor: Backdoor attacks with arbitrary target class,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.383638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 86ddc06f-a990-4a91-ab35-48ddb2ef900b · outbound

This paper cites Input-aware dynamic backdoor attack,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Input-aware dynamic backdoor attack,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.372051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 50d3e0a2-566f-40e2-9779-692dfb435f76 · outbound

This paper cites Dynamic back- door attacks against machine learning models,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Dynamic back- door attacks against machine learning models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.361439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 960e6b8a-2491-46d6-ad3b-d3860146ccbc · outbound

This paper cites Poison Frogs! targeted clean-label poisoning attacks on neural networks,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Poison Frogs! targeted clean-label poisoning attacks on neural networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.349555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07c3c373-6f54-4b43-82d7-7a3e7e6bca8e · outbound

This paper cites Bppattack: Stealthy and efficient trojan attacks against deep neural networks via image quantization and contrastive adversarial learning,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Bppattack: Stealthy and efficient trojan attacks against deep neural networks via image quantization and contrastive adversarial learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.337601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cec827a8-2d0a-4e8e-9f8b-54667ee8e322 · outbound

This paper cites Transferable clean-label poisoning attacks on deep neural nets,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Transferable clean-label poisoning attacks on deep neural nets,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.325250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a4f3302b-e17f-4cf5-8e2d-c9068387a16b · outbound

This paper cites Feat: Frequency energy based backdoor attack in deep neural networks,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Feat: Frequency energy based backdoor attack in deep neural networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.312765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1fcdeb97-8f0e-480f-a1fa-0f35fed4eb93 · outbound

This paper cites One-to-multiple clean-label image camouflage (omclic) based backdoor attack on deep learning,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks One-to-multiple clean-label image camouflage (omclic) based backdoor attack on deep learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.301456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 43b09027-8f2e-416f-af62-4f03d97fefcc · outbound

This paper cites A clean-label graph backdoor attack method in node classification task,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks A clean-label graph backdoor attack method in node classification task,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.289442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7b92095a-ab31-4c89-a0bc-7e5c0d3b0a5a · outbound

This paper cites Detecting backdoors in pre-trained encoders,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Detecting backdoors in pre-trained encoders,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.278453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2466e8bb-0639-4771-a137-3735a06ff9a0 · outbound

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

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Universal litmus patterns: Revealing backdoor attacks in cnns,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.267228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a6dd99ce-ef28-4803-a335-e77a76cd293b · outbound

This paper cites Backdoor scanning for deep neural networks through k- arm optimization,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Backdoor scanning for deep neural networks through k- arm optimization,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.256253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c98d84b7-f565-4344-af50-3125531ecadb · outbound

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

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Neural cleanse: Identifying and mitigating backdoor attacks in neural networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.243850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 24ffb656-5efd-4e5f-967f-f4d31db9eb8f · outbound

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

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Detecting backdoor attacks on deep neural networks by activation clustering,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.232038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f330c6ba-967d-4a20-a4cc-38453409dcf8 · outbound

This paper cites SentiNet: Detecting localized universal attacks against deep learning systems,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks SentiNet: Detecting localized universal attacks against deep learning systems,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.219722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation de1319c4-3e97-43ae-812b-c7e0de8a7bbb · outbound

This paper cites Spectral signatures in backdoor at- tacks,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Spectral signatures in backdoor at- tacks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.208353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7bdec6fe-5544-4053-af6b-8de6cdd1a253 · outbound

This paper cites Design and evaluation of a multi-domain trojan detection method on deep neural networks,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Design and evaluation of a multi-domain trojan detection method on deep neural networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.197169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6a981e29-c6a5-4b97-b8dd-6e8e4f151a9a · outbound

This paper cites Demon in the variant: Statistical analysis of dnns for robust backdoor contamination detection,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Demon in the variant: Statistical analysis of dnns for robust backdoor contamination detection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.185556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b5f9254f-e72c-469f-be94-8db474556878 · outbound

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

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Certified robustness of nearest neighbors against data poisoning and backdoor attacks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.174145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation de8ebb24-7049-4663-9d9a-8e780a424b19 · outbound

This paper cites Patchguard: A provably robust defense against adversarial patches via small receptive fields and masking,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Patchguard: A provably robust defense against adversarial patches via small receptive fields and masking,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.162904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a06053d6-96d2-4113-95de-a34f2ff6e77a · outbound

This paper cites A defense method against backdoor attacks on neural networks,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks A defense method against backdoor attacks on neural networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.150600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c08cf161-bb3d-4665-ab39-0d01a0400329 · outbound

This paper cites Towards robustness evaluation of backdoor defense on quantized deep learning models,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Towards robustness evaluation of backdoor defense on quantized deep learning models,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.138564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 59830b2b-6b70-4e3c-9fbd-44f45b9b4b15 · outbound

This paper cites U-Net: Convolutional net- works for biomedical image segmentation,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks U-Net: Convolutional net- works for biomedical image segmentation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.126727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0484c38-1bb4-48cf-8ebe-8b73e3439595 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks The mnist database of handwritten digit images for machine learning research,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T19:26:17.953183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3debdc29-c35b-4cab-a212-50f5c4a72d2b · outbound

This paper cites Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Detection of traffic signs in real-world images: The German Traffic Sign Detection Benchmark,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T19:26:17.956803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca268f98-6f0b-4c6f-a2b3-ddff743f1977 · outbound

This paper cites Identity mappings in deep residual networks,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Identity mappings in deep residual networks,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.100369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3227d4c1-f2a5-4fe3-a9aa-fc6a4aeeff1d · outbound

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

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Learning multiple layers of features from tiny images,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T19:26:17.963483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a70d18c4-448c-492c-b1d9-d5a61bb08f5a · outbound

This paper cites Deep residual learning for image recognition,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Deep residual learning for image recognition,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.081273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 85846aa3-81f4-4b72-969e-8819f547b324 · outbound

This paper cites Grad-CAM: Visual explanations from deep networks via gradient-based localization,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Grad-CAM: Visual explanations from deep networks via gradient-based localization,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.067839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 76d79b70-83d3-4d27-93c8-dc4bd50b44bd · outbound

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

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Fine-pruning: Defending against backdooring attacks on deep neural networks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.054941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 966e5d22-3f17-4081-b672-4ca1ecfed532 · outbound

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

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Neural attention distillation: Erasing backdoor triggers from deep neural networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.041696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5c34acfc-756f-47a3-a449-90ac66f294a7 · outbound

This paper cites Untargeted backdoor attack against deep neural networks with imperceptible trig- ger,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Untargeted backdoor attack against deep neural networks with imperceptible trig- ger,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.029966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4b0de3e-0ea6-43ed-b949-76fad8ba6598 · outbound

This paper cites Shortcut learning in deep neural networks,.

CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks Shortcut learning in deep neural networks,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:26:18.017102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 4546f43e-5c36-4083-87d4-ab04ea703b29 · inbound

BadViM: Backdoor Attack against Vision Mamba cites this paper.

BadViM: Backdoor Attack against Vision Mamba CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:18:00.059264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.