Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications | Paper Citation Record

Observation cc805d84-1589-4ced-a87b-1709f32dd40c · outbound

This paper cites Integrating sensing and communications for ubiquitous iot: Applications, trends, and challenges,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Integrating sensing and communications for ubiquitous iot: Applications, trends, and challenges,

Reference 1

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Observation b1972304-c515-4773-98ed-bc97e4ac375a · outbound

This paper cites Machine learning-based 5g ran slicing for broadcasting ser- 12 Fig. 18: FNR of our proposed AiTViT method for a range of percentage of training samples. vices,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Machine learning-based 5g ran slicing for broadcasting ser- 12 Fig. 18: FNR of our proposed AiTViT method for a range of percentage of training samples. vices,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:23.127727Z

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Observation 6554e6b3-ec0f-4564-8f5b-1a3aaf2134b9 · outbound

This paper cites Device-free wireless sensing for human detection: the deep learning perspective,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Device-free wireless sensing for human detection: the deep learning perspective,

Reference 3

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Observation cb82684c-5cb8-427f-a04f-6dbe7f596401 · outbound

This paper cites Energy-efficient data collection and device positioning in uav- assisted iot,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Energy-efficient data collection and device positioning in uav- assisted iot,

Reference 4

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Observation e58380d4-796a-4cad-b6bf-70695029f734 · outbound

This paper cites Automatic modulation classification via meta-learning,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Automatic modulation classification via meta-learning,

Reference 5

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Observation b0e41b88-4bc5-47de-a18d-61ff652587e2 · outbound

This paper cites Gs-qrnn: A high- efficiency automatic modulation classifier for cognitive radio iot,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Gs-qrnn: A high- efficiency automatic modulation classifier for cognitive radio iot,

Reference 6

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Observation ef12726c-0c35-4c2c-b5ff-39e0dda789fc · outbound

This paper cites Ul- tralight convolutional neural network for automatic modulation classification in internet of unmanned aerial vehicles,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Ul- tralight convolutional neural network for automatic modulation classification in internet of unmanned aerial vehicles,

Reference 7

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Observation 48a8c10b-42de-4778-9898-61068496565d · outbound

This paper cites Edge- enabled modulation classification in internet of underwater things based on network pruning and ensemble learning,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Edge- enabled modulation classification in internet of underwater things based on network pruning and ensemble learning,

Reference 8

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Observation 54d8d891-14b5-4f3c-a653-bba27c95bf98 · outbound

This paper cites Ac- curacy analysis of feature-based automatic modulation classifi- cation with blind modulation detection,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Ac- curacy analysis of feature-based automatic modulation classifi- cation with blind modulation detection,

Reference 9

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Observation cfcbc15e-4e96-497a-b010-834b4e138b1d · outbound

This paper cites Automatic mod- ulation classification using moments and likelihood maximiza- tion,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Automatic mod- ulation classification using moments and likelihood maximiza- tion,

Reference 10

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Observation 420f0d07-4b94-4303-8beb-cfe934e84a2a · outbound

This paper cites Amc-iot: Automatic modulation classification using efficient convolutional neural networks for low powered iot devices,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Amc-iot: Automatic modulation classification using efficient convolutional neural networks for low powered iot devices,

Reference 11

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Observation 0a00cafb-45fe-4bc2-a31a-97344ecfee05 · outbound

This paper cites Over-the-air deep learning based radio signal classification,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Over-the-air deep learning based radio signal classification,

Reference 12

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Observation 5022ea34-5b44-4be0-81cf-8bd179815884 · outbound

This paper cites High-Capacity Complex Convolutional Neural Networks For I/Q Modulation Classification.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications High-Capacity Complex Convolutional Neural Networks For I/Q Modulation Classification

Reference 13

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This paper cites Sequential convolutional recurrent neural networks for fast automatic mod- ulation classification,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Sequential convolutional recurrent neural networks for fast automatic mod- ulation classification,

Reference 14

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Observation 0af4bb6f-2574-4e1c-bf3b-d6258f96f302 · outbound

This paper cites Meta-learning guided label noise distillation for robust signal modulation classifica- tion,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Meta-learning guided label noise distillation for robust signal modulation classifica- tion,

Reference 15

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Observation bd049a02-ab9d-4e5a-9bfd-e1c0e4a3536e · outbound

This paper cites Fast Deep Learning for Automatic Modulation Classification.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Fast Deep Learning for Automatic Modulation Classification

Reference 16

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Observation 983fa9b4-5f2b-4be1-ba70-fff86c3d4e34 · outbound

This paper cites Multi- signal modulation classification using sliding window detection and complex convolutional network in frequency domain,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Multi- signal modulation classification using sliding window detection and complex convolutional network in frequency domain,

Reference 17

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Observation 4dbb9598-736b-4a67-9a97-62a530d712bb · outbound

This paper cites A lightweight decentralized learning- based automatic modulation classification method for resource- constrained edge devices,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications A lightweight decentralized learning- based automatic modulation classification method for resource- constrained edge devices,

Reference 18

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Observation 5b2a7193-9008-4aec-97b7-cc84963cef81 · outbound

This paper cites Smtc-cl: Continuous learning via selective multi-task coordi- nation for adaptive signal classification,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Smtc-cl: Continuous learning via selective multi-task coordi- nation for adaptive signal classification,

Reference 19

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This paper cites Automatic modulation classification using graph convolutional neural networks for time-frequency representa- tion,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Automatic modulation classification using graph convolutional neural networks for time-frequency representa- tion,

Reference 20

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Observation 296d1ca7-f1a9-4224-b714-a81176b90460 · outbound

This paper cites Automatic modulation classification based on decentralized learning and ensemble learning,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Automatic modulation classification based on decentralized learning and ensemble learning,

Reference 21

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Observation 048fb44c-6a9c-46b2-a1cf-b1e528b9ab72 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 22

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This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,

Reference 23

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This paper cites Levit: a vision transformer in convnet’s clothing for faster inference,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Levit: a vision transformer in convnet’s clothing for faster inference,

Reference 24

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This paper cites Mcformer: A transformer based deep neural network for automatic modulation classification,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Mcformer: A transformer based deep neural network for automatic modulation classification,

Reference 25

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Observation 484825af-78ef-458f-8d3d-c89354c5a32c · outbound

This paper cites Adversarial attacks and defenses in images, graphs and text: A review,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Adversarial attacks and defenses in images, graphs and text: A review,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:19.683646Z

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Observation ad07f7f3-93f4-481f-ac97-1129288d0df8 · outbound

This paper cites Contextual adversarial attacks for object detection,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Contextual adversarial attacks for object detection,

Reference 27

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This paper cites Textattack: A framework for adversarial attacks in natural language process- ing,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Textattack: A framework for adversarial attacks in natural language process- ing,

Reference 28

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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This paper cites Adversarial attacks on face recognition systems,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Adversarial attacks on face recognition systems,

Reference 29

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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This paper cites Adversarial attacks against win- dows pe malware detection: A survey of the state-of-the-art,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Adversarial attacks against win- dows pe malware detection: A survey of the state-of-the-art,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25fb3963-fb36-407e-a1ce-398ed5e63b5d · outbound

This paper cites Adversarial attacks on deep- learning based radio signal classification,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Adversarial attacks on deep- learning based radio signal classification,

Reference 31

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e559c00f-35c2-42fb-b83a-8727e992352b · outbound

This paper cites Countermeasures against adversarial examples in radio signal classification,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Countermeasures against adversarial examples in radio signal classification,

Reference 32

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This paper cites A deep ensemble- based wireless receiver architecture for mitigating adversarial attacks in automatic modulation classification,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications A deep ensemble- based wireless receiver architecture for mitigating adversarial attacks in automatic modulation classification,

Reference 33

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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This paper cites Mixture gan for modulation classification resiliency against adversarial attacks,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Mixture gan for modulation classification resiliency against adversarial attacks,

Reference 34

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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This paper cites A hybrid training-time and run-time defense against adversarial attacks in modulation classification,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications A hybrid training-time and run-time defense against adversarial attacks in modulation classification,

Reference 35

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This paper cites Safeamc: Adversar- ial training for robust modulation classification models,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Safeamc: Adversar- ial training for robust modulation classification models,

Reference 36

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This paper cites Efficient adversarial defense without adversarial training: A batch normalization approach,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Efficient adversarial defense without adversarial training: A batch normalization approach,

Reference 37

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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This paper cites ℓ ∞-robustness and beyond: Unleashing efficient adversarial training,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications ℓ ∞-robustness and beyond: Unleashing efficient adversarial training,

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fe38775c-bc19-4209-9b15-d6fd5eaf3dc6 · outbound

This paper cites Attention-based adversarial robust distillation in radio signal classifications for low-power iot devices,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Attention-based adversarial robust distillation in radio signal classifications for low-power iot devices,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:16.708177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e2638a91-f141-48d2-bac6-cfbbb5f3744d · outbound

This paper cites Adversarial learning in transformer based neural network in radio signal classifi- cation,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Adversarial learning in transformer based neural network in radio signal classifi- cation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:16.477420Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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This paper cites Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?

Reference 41

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

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Towards deep learning models resistant to adversarial attacks,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T01:09:14.516265Z

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This paper cites Wild patterns: Ten years after the rise of adversarial machine learning,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Wild patterns: Ten years after the rise of adversarial machine learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:16.262543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 88573395-47b6-439b-bbe1-4b8c45dd0cb9 · outbound

This paper cites Investigation of deep learning architectures and features for adversarial machine learning attacks in modulation classi- fications,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Investigation of deep learning architectures and features for adversarial machine learning attacks in modulation classi- fications,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:16.064225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 223c4a3e-f365-4e75-9511-0ff88e65899a · outbound

This paper cites Radio Machine Learning Dataset Generation with GNU Radio,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Radio Machine Learning Dataset Generation with GNU Radio,

Reference 45

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b5b391ac-8815-4916-b792-097cbfafd66b · outbound

This paper cites Adversarial examples in the physical world,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Adversarial examples in the physical world,

Reference 46

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Source-reported events for the cited work

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Observation 9af18386-3f0d-4f42-81c1-17e906813abb · outbound

This paper cites Automatic modulation classification: Cauchy-score-function-based cyclic correlation spectrum and fc-mlp under mixed noise and fading channels,.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Automatic modulation classification: Cauchy-score-function-based cyclic correlation spectrum and fc-mlp under mixed noise and fading channels,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:15.681013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8b5817dd-1d83-4eb4-b863-74cbf63b9ed0 · outbound

This paper cites degree in mathematics from Guangxi University, Guangxi, China, in 1985, the M.S.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications degree in mathematics from Guangxi University, Guangxi, China, in 1985, the M.S

Reference 1963

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:09:15.497130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 911c88fc-ceee-4c9e-bc38-8f0d125999af · outbound

This paper cites an unresolved cited work.

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications Unresolved cited work

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