A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection | Paper Citation Record

Observation 64bb9bdd-e4f4-4c03-9f03-d81bd9adb6dc · outbound

This paper cites Enhanced iris presentation attack detection via contraction-expansion CNN.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Enhanced iris presentation attack detection via contraction-expansion CNN

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.568001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9f8ebb15-0cd5-47bd-b2b9-dbd715ab8142 · outbound

This paper cites Generalized contact lens iris presentation attack de- tection.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Generalized contact lens iris presentation attack de- tection

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.546437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fc8b05fb-2b46-44ba-af0e-04a612bf3d49 · outbound

This paper cites Learning to attack: Ad- versarial transformation networks.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Learning to attack: Ad- versarial transformation networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.524365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 110cd771-33e7-4ffc-81ed-5d448c40b893 · outbound

This paper cites Bowyer, and Adam Czajka.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Bowyer, and Adam Czajka

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.497382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5a7bef4-8df9-4571-ab9e-57fe97a4045f · outbound

This paper cites an unresolved cited work.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T19:08:00.452310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c819e1f-ae4b-4762-b871-c801dc0a6224 · outbound

This paper cites Grad-cam++: General- ized gradient-based visual explanations for deep convolu- tional networks.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Grad-cam++: General- ized gradient-based visual explanations for deep convolu- tional networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.447264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 15efabe6-0413-44a5-84f3-fca47a38060e · outbound

This paper cites A multi-task convolutional neural network for joint iris detection and presentation attack detection.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection A multi-task convolutional neural network for joint iris detection and presentation attack detection

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.422824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad566257-fd84-4b80-a73b-bd7e2fe21e70 · outbound

This paper cites An explainable attention- guided iris presentation attack detector.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection An explainable attention- guided iris presentation attack detector

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.395269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 43f586f9-eed7-4bea-86c1-1c81eaadbf93 · outbound

This paper cites CAT: Customized adversarial training for improved robustness.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection CAT: Customized adversarial training for improved robustness

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.369890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e00af724-ddb2-4202-9ec8-d647dae95ada · outbound

This paper cites Fake iris detection using structured light.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Fake iris detection using structured light

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.326619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c35d0cac-f732-442d-8f6f-70a2a98292b2 · outbound

This paper cites Cubuk, Barret Zoph, Dandelion Man ´e, Vijay Va- sudevan, and Quoc V.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Cubuk, Barret Zoph, Dandelion Man ´e, Vijay Va- sudevan, and Quoc V

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.305794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 52a2927c-d72e-4ebc-91c9-a33256130cdb · outbound

This paper cites Iris liveness detection by modeling dynamic pupil features.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Iris liveness detection by modeling dynamic pupil features

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.277833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 166d8beb-eecf-49e3-ad47-6d96dc2a5f3f · outbound

This paper cites Pupil size measurement and application to iris presentation attack detection.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Pupil size measurement and application to iris presentation attack detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.252308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ea3324b-eaba-430b-9683-eebdec7324a5 · outbound

This paper cites Iris pre- sentation attack detection based on photometric stereo fea- tures.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Iris pre- sentation attack detection based on photometric stereo fea- tures

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.224509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1404a4a6-47ef-4b92-a094-501f12104b29 · outbound

This paper cites Iris Liveness Detection Com- petition (LivDet-Iris) - The 2020 Edition.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Iris Liveness Detection Com- petition (LivDet-Iris) - The 2020 Edition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.182494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 833f923a-20e7-4a9a-a995-aea9d70a7bfe · outbound

This paper cites an unresolved cited work.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:08:02.153010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b8d3b1b-77ab-49c5-81f4-fbff42c5b25b · outbound

This paper cites Doyle and Kevin W.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Doyle and Kevin W

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.124044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 44d7f90f-40d0-4d98-8c7a-993cca49ce86 · outbound

This paper cites Intra and cross-spectrum iris presentation attack detection in the NIR and visible domains.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Intra and cross-spectrum iris presentation attack detection in the NIR and visible domains

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.106501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation db295314-2c32-4039-8673-7237a72973e8 · outbound

This paper cites Cross-database and cross-attack iris presentation attack detection using micro stripes analy- ses.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Cross-database and cross-attack iris presentation attack detection using micro stripes analy- ses

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.076545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2779cf88-0960-4a47-bdd1-67401abbd2bb · outbound

This paper cites The overlapping effect and fu- sion protocols of data augmentation techniques in iris PAD.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection The overlapping effect and fu- sion protocols of data augmentation techniques in iris PAD

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:02.035750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 92e28154-2ad0-44e2-bf64-ee703582ef77 · outbound

This paper cites an unresolved cited work.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:08:02.007746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b592302-f14a-4fad-8e78-73787da3720e · outbound

This paper cites Generative adversarial networks.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Generative adversarial networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.983274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9ec95538-efb3-40d0-b8ad-f21c131cce8d · outbound

This paper cites Explaining and harnessing adversarial examples.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Explaining and harnessing adversarial examples

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.958854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4a0d433b-b2f0-44ec-b261-6328e81f3a7b · outbound

This paper cites An investigation of local descriptors for biometric spoofing detection.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection An investigation of local descriptors for biometric spoofing detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.937391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e15fd561-84e0-464b-ac02-58f3414fbc82 · outbound

This paper cites Generalized iris presentation attack detection algorithm under cross-database settings.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Generalized iris presentation attack detection algorithm under cross-database settings

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.911861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5488bc17-a0c0-41f9-91ab-4f2250224a82 · outbound

This paper cites Zhang, Shaoqing Ren, and Jian Sun.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Zhang, Shaoqing Ren, and Jian Sun

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.890022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1064a7fb-a61f-4f01-8adc-21a3d6ab5160 · outbound

This paper cites Multi-patch convolution neural net- work for iris liveness detection.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Multi-patch convolution neural net- work for iris liveness detection

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.859009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7105ca36-9eae-4d30-a443-76cc75ccf903 · outbound

This paper cites Con- volutional neural networks for iris presentation attack de- tection: Toward cross-dataset and cross-sensor generaliza- tion.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Con- volutional neural networks for iris presentation attack de- tection: Toward cross-dataset and cross-sensor generaliza- tion

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.833670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f9c44fc8-786d-489e-a720-aebc76b47c27 · outbound

This paper cites Iris + Ocu- lar: Generalized iris presentation attack detection using mul- tiple convolutional neural networks.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Iris + Ocu- lar: Generalized iris presentation attack detection using mul- tiple convolutional neural networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.812471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 25ec6e87-6ab2-4baf-b5c2-f05b8e51743c · outbound

This paper cites Iris liveness detection using regional features.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Iris liveness detection using regional features

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.786925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4fb3974d-2768-440a-8d02-cbea5c671b09 · outbound

This paper cites Weinberger.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Weinberger

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.757355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 418ba833-e152-4913-952b-ad75e76045ff · outbound

This paper cites From the perspective of CNN to adversarial iris images.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection From the perspective of CNN to adversarial iris images

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.728161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 16b663ef-aac2-4c59-8b19-4772d5c0b671 · outbound

This paper cites an unresolved cited work.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:08:01.694562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 023685ac-35e0-4880-bcfe-d926593d05d4 · outbound

This paper cites Adversar- ial examples are not bugs, they are features.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Adversar- ial examples are not bugs, they are features

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.673734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d25c9995-c7b6-44f4-97cf-dafe83c7af73 · outbound

This paper cites Robust iris presentation attack detection through stochastic filter noise.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Robust iris presentation attack detection through stochastic filter noise

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.653237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e75c1263-835b-4fce-89cb-ab88a145dd76 · outbound

This paper cites Komogortsev and Alex Karpov.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Komogortsev and Alex Karpov

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.633185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c04ca68-a7be-4fb6-adcc-c97115839a93 · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Imagenet classification with deep convolutional neural net- works

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.607087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bc3f25bb-0622-42eb-ac2a-22b689588ea6 · outbound

This paper cites Bowyer, and Adam Czajka.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Bowyer, and Adam Czajka

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.590071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 067391fc-6169-4d95-9866-ab010c82814b · outbound

This paper cites Adver- sarial machine learning at scale.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Adver- sarial machine learning at scale

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.570972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a9b223b3-bd68-402f-8a3c-ec63bfb632a2 · outbound

This paper cites Single domain dynamic generalization for iris presenta- tion attack detection.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Single domain dynamic generalization for iris presenta- tion attack detection

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.553957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e9bab0d-640e-4ca1-8174-93eb8dcb6bc2 · outbound

This paper cites Deep representations for iris, face, and fingerprint spoofing detection.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Deep representations for iris, face, and fingerprint spoofing detection

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.534054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a454e722-6327-4c7f-8c4d-c916a7d56ee6 · outbound

This paper cites DeepFool: A simple and accurate method to fool deep neural networks.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection DeepFool: A simple and accurate method to fool deep neural networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.500230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06fd0d8e-25c8-4ea5-b152-cf75f16a71cd · outbound

This paper cites an unresolved cited work.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:08:01.477093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b0b9c26b-cfd0-4789-8403-682ff69110a8 · outbound

This paper cites Outsmarting biometric imposters: Enhancing iris- recognition system security through physical adversarial ex- ample generation and PAD fine-tuning.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Outsmarting biometric imposters: Enhancing iris- recognition system security through physical adversarial ex- ample generation and PAD fine-tuning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.459477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f286eeff-d565-4b3e-b858-a7ac72d8788d · outbound

This paper cites Iris liveness detection by rela- tive distance comparisons.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Iris liveness detection by rela- tive distance comparisons

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.439212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d2348862-97c4-4c1f-a188-1deaaded0516 · outbound

This paper cites Robust scheme for iris presentation attack detection using multiscale binarized statistical image features.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Robust scheme for iris presentation attack detection using multiscale binarized statistical image features

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.419008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e7debc25-926b-4a25-88fd-913b50b66996 · outbound

This paper cites D-NetPAD: An explainable and interpretable iris presentation attack detector.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection D-NetPAD: An explainable and interpretable iris presentation attack detector

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.395443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b83b29a4-695f-4ac0-bc44-b9d84c37032f · outbound

This paper cites Investigat- ing weight-perturbed deep neural networks with application in iris presentation attack detection.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Investigat- ing weight-perturbed deep neural networks with application in iris presentation attack detection

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.375802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b616792-80c2-447a-80ac-816a03e80421 · outbound

This paper cites Khoshgoftaar.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Khoshgoftaar

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.357871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 53f6a925-c1ae-4e92-a63d-dadabbeee152 · outbound

This paper cites Simonyan and A.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Simonyan and A

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.342327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aa099a9c-3e65-4ca7-82e8-25f0d12dcd5b · outbound

This paper cites Presentation attack detection in iris recognition through convolution block attention module.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Presentation attack detection in iris recognition through convolution block attention module

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.325006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3e6d678a-4368-49c8-8baa-6ac05339de73 · outbound

This paper cites Goodfellow, and Rob Fergus.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Goodfellow, and Rob Fergus

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.298995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 177886a8-87e5-41de-8ae5-98474fc08529 · outbound

This paper cites Tapia, Sebastian Gonzalez, and Christoph Busch.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Tapia, Sebastian Gonzalez, and Christoph Busch

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.275411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0742bccb-39c0-4d21-8b92-beba52118b4a · outbound

This paper cites Iris Liveness Detection Competition (LivDet-Iris) – The 2023 Edition.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Iris Liveness Detection Competition (LivDet-Iris) – The 2023 Edition

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.256437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8bf22d19-85f4-46f6-9023-72ac51a01413 · outbound

This paper cites Effective data augmentation with diffu- sion models.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Effective data augmentation with diffu- sion models

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.229651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5848175-579b-491c-b0e0-a03f714b374b · outbound

This paper cites Robustness may be at odds with accuracy.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Robustness may be at odds with accuracy

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.205111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9326b04e-8c08-45e4-aa98-fb91cb7c194d · outbound

This paper cites Visualizing data using t-SNE.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Visualizing data using t-SNE

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.185074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26d56f63-6588-423c-bd25-d4a60131b1a1 · outbound

This paper cites Generating adversarial examples with adversarial networks.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Generating adversarial examples with adversarial networks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.167999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 99dd96dd-d7b1-4442-ac95-6872a42d32fd · outbound

This paper cites Yuille, and Quoc V.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Yuille, and Quoc V

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.144225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a882a72-99c5-4623-85ae-e614805ca5c7 · outbound

This paper cites Fusion of hand- crafted and deep learning features for large-scale multiple iris presentation attack detection.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Fusion of hand- crafted and deep learning features for large-scale multiple iris presentation attack detection

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.121032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad11ce69-2b25-4965-9c01-6d611c1e59c5 · outbound

This paper cites Detecting textured contact lens in uncon- trolled environment using DensePAD.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Detecting textured contact lens in uncon- trolled environment using DensePAD

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.098152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 44482eb9-889e-46c8-8d45-2f8a5202c3b5 · outbound

This paper cites Synthesizing iris images using RaSGAN with application in presentation attack detection.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Synthesizing iris images using RaSGAN with application in presentation attack detection

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.067644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9bc09cd6-0810-4910-be59-8068a67795ec · outbound

This paper cites an unresolved cited work.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:08:01.050317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f56c43fb-fe20-4135-8e35-2c82493e110f · outbound

This paper cites Review of iris presentation attack detection competi- tions.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Review of iris presentation attack detection competi- tions

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.001421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c0235483-2c96-41e9-86b3-e7ba106c7b09 · outbound

This paper cites Sinnott, James Bailey, and Qiuhong Ke.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Sinnott, James Bailey, and Qiuhong Ke

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:00.980914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1865457b-5ca2-41d6-9bfd-c5407aff59cf · outbound

This paper cites A fourier perspective on model robustness in computer vision.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection A fourier perspective on model robustness in computer vision

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:00.962542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 74ba685a-d935-4780-afb5-e5384f38951b · outbound

This paper cites Au- toencoder and its various variants.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Au- toencoder and its various variants

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:00.943674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 55ac6268-e83c-4a3d-842b-a1af631bdf75 · outbound

This paper cites Adversarial AutoAugment.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection Adversarial AutoAugment

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:00.920261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9e8edc17-7175-40fc-9d15-79056dc878db · outbound

This paper cites 1, 2, 5, 6, 8.

A Parametric Approach to Adversarial Augmentation for Cross-Domain Iris Presentation Attack Detection 1, 2, 5, 6, 8

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:08:01.028329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers