Trident: Detecting Face Forgeries with Adversarial Triplet Learning | Paper Citation Record

Observation a0798005-9eae-4bf3-bd5d-fc8670db9f00 · outbound

This paper cites Generative adversarial nets,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Generative adversarial nets,

Reference 1

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Observation fc62542a-420b-4662-8c98-721cef681943 · outbound

This paper cites Denoising diffusion probabilistic models,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Denoising diffusion probabilistic models,

Reference 2

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Observation a4dec70c-7b28-4b4c-bb77-bba96f17df1e · outbound

This paper cites CNN- generated images are surprisingly easy to spot... for now,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning CNN- generated images are surprisingly easy to spot... for now,

Reference 3

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Observation fe3d319d-92f9-4512-bf78-2946a8e16220 · outbound

This paper cites FaceNet: A unified embedding for face recognition and clustering,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning FaceNet: A unified embedding for face recognition and clustering,

Reference 4

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Observation 7d679e25-c4be-446c-9fac-ca85978dcb85 · outbound

This paper cites Unsupervised domain adaptation by backpropagation,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Unsupervised domain adaptation by backpropagation,

Reference 5

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Observation a9fa4d2a-89b0-4a76-ba98-2e8930f45ccf · outbound

This paper cites BitFit: Simple parameter- efficient fine-tuning for transformer-based masked language-models,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning BitFit: Simple parameter- efficient fine-tuning for transformer-based masked language-models,

Reference 6

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Observation a55c0b58-c851-49a5-b164-e056a8f7e4a4 · outbound

This paper cites DeepfakeBench: A comprehensive benchmark of deepfake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning DeepfakeBench: A comprehensive benchmark of deepfake detection,

Reference 7

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Observation cf21f9d2-11b5-410d-bbb2-a65152bb9610 · outbound

This paper cites Xception: Deep learning with depthwise separable convolu- tions,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Xception: Deep learning with depthwise separable convolu- tions,

Reference 8

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Observation ad84d395-b01b-4d99-8b46-41c25b5c8b1d · outbound

This paper cites EfficientNet: Rethinking model scaling for convolu- tional neural networks,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning EfficientNet: Rethinking model scaling for convolu- tional neural networks,

Reference 9

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Observation adbad71b-2469-407a-92a5-c70bfce1a103 · outbound

This paper cites FaceForensics++: Learning to detect manipulated facial images,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning FaceForensics++: Learning to detect manipulated facial images,

Reference 10

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Observation 91e42363-eb53-4c58-879f-8607fa003970 · outbound

This paper cites Face X-ray for more general face forgery detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Face X-ray for more general face forgery detection,

Reference 11

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Observation ab26d385-1a7e-4dc1-9c0a-d902e7981ed8 · outbound

This paper cites What makes fake images detectable? understanding properties that generalize,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning What makes fake images detectable? understanding properties that generalize,

Reference 12

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Observation 15f47bc4-7065-480f-a5e6-9189df2f2b4f · outbound

This paper cites Artifacts-disentangled adversarial learning for deepfake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Artifacts-disentangled adversarial learning for deepfake detection,

Reference 13

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Observation 4094fbef-6851-4523-b5cd-dab4624ec43f · outbound

This paper cites LAA-Net: Localized artifact attention network for quality-agnostic and generalizable deepfake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning LAA-Net: Localized artifact attention network for quality-agnostic and generalizable deepfake detection,

Reference 14

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Observation 497350b0-30d8-4c4f-9108-7386651df7e4 · outbound

This paper cites Masked relation learning for deepfake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Masked relation learning for deepfake detection,

Reference 15

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Observation abbc77df-2c28-4287-a189-6c09b9f0c003 · outbound

This paper cites Shallowfake and deepfake image manipulation localization using noise and RGB-based dual branch method,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Shallowfake and deepfake image manipulation localization using noise and RGB-based dual branch method,

Reference 16

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Observation 038460db-dd85-4977-8d9a-614be4cbabe2 · outbound

This paper cites Aw-msa: Adaptively weighted multi-scale attentional features for deepfake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Aw-msa: Adaptively weighted multi-scale attentional features for deepfake detection,

Reference 17

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Observation 096d84ad-06aa-4ada-a0e2-90e6b1a9a9d2 · outbound

This paper cites Lgdf-net: Local and global feature-based dual-branch fusion networks for deepfake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Lgdf-net: Local and global feature-based dual-branch fusion networks for deepfake detection,

Reference 18

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Observation 849f41ff-21f7-4579-aff0-53535de36f5a · outbound

This paper cites Exposing deep fakes using inconsistent head poses,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Exposing deep fakes using inconsistent head poses,

Reference 19

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Observation 4665f4e8-733a-4116-9674-9f7a9154cca4 · outbound

This paper cites Lips don’t lie: A generalisable and robust approach to face forgery detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Lips don’t lie: A generalisable and robust approach to face forgery detection,

Reference 20

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Observation 8cbc473a-e6d3-4995-bde3-c8b7a84bbde6 · outbound

This paper cites Spatiotemporal inconsistency learning for deepfake video detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Spatiotemporal inconsistency learning for deepfake video detection,

Reference 21

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Observation 25433538-9a87-464f-affd-4db15fab3376 · outbound

This paper cites Deepfake video detection through optical flow based CNN,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Deepfake video detection through optical flow based CNN,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:36.574409Z

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Observation da91b621-f3a0-43ba-b2d1-e81aa31678fe · outbound

This paper cites Exploiting inconsistencies in stylegan latent space for deepfake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Exploiting inconsistencies in stylegan latent space for deepfake detection,

Reference 23

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Observation 40ccc5f2-0daf-4fb7-8642-7604e669bd90 · outbound

This paper cites V oice–Face homogeneity tells deepfake,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning V oice–Face homogeneity tells deepfake,

Reference 24

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Observation 770fe032-91be-4b31-a809-328f088e262e · outbound

This paper cites Augmented multi-scale spatiotemporal inconsistency magnifier for generalized deep- fake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Augmented multi-scale spatiotemporal inconsistency magnifier for generalized deep- fake detection,

Reference 25

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Observation ea7ec9b3-14f8-4663-83ff-8e712da95306 · outbound

This paper cites Detection of deepfake videos using long-distance attention,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Detection of deepfake videos using long-distance attention,

Reference 26

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Observation f1b25c78-fa7c-4f69-9b44-786f7936444e · outbound

This paper cites Tall: Thumbnail layout for deepfake video detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Tall: Thumbnail layout for deepfake video detection,

Reference 27

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Observation 6b1b0fcf-e5e9-40ee-8ed3-81feb4990f4f · outbound

This paper cites Deepfake detection using robust spatial and temporal features from facial landmarks,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Deepfake detection using robust spatial and temporal features from facial landmarks,

Reference 28

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Observation 0d2737d0-12fb-4796-ac9d-abe28fbdc43c · outbound

This paper cites Thinking in frequency: Face forgery detection by mining frequency-aware clues,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Thinking in frequency: Face forgery detection by mining frequency-aware clues,

Reference 29

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Observation ee3ba366-686e-461b-910f-0efa2df7ee93 · outbound

This paper cites Frequency-aware discrim- inative feature learning supervised by single-center loss for face forgery detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Frequency-aware discrim- inative feature learning supervised by single-center loss for face forgery detection,

Reference 30

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Observation a35292bd-0a4a-4a80-8190-a3bef986dbfa · outbound

This paper cites Spatial-phase shallow learning: Rethinking face forgery detection in frequency domain,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Spatial-phase shallow learning: Rethinking face forgery detection in frequency domain,

Reference 31

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Observation cb2ce402-b3ed-4133-8096-95bbfd2c49cf · outbound

This paper cites Leveraging frequency analysis for deep fake image recogni- tion,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Leveraging frequency analysis for deep fake image recogni- tion,

Reference 32

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Observation 7229fed4-3d20-4ced-bbe6-e0c705d4a700 · outbound

This paper cites Rethinking the up- sampling operations in CNN-based generative network for generalizable deepfake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Rethinking the up- sampling operations in CNN-based generative network for generalizable deepfake detection,

Reference 33

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Observation a878120c-c4c1-43d4-b07a-bce85ceca7c5 · outbound

This paper cites Frequency-aware deepfake detection: Improving generalizability through frequency space domain learning,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Frequency-aware deepfake detection: Improving generalizability through frequency space domain learning,

Reference 34

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Observation 29d2caa8-4383-47b3-9b96-bb1b740da52b · outbound

This paper cites A Timely Survey on Vision Transformer for Deepfake Detection.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning A Timely Survey on Vision Transformer for Deepfake Detection

Reference 35

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Observation 64dc5745-930b-4841-9d89-f515c78f7d24 · outbound

This paper cites ISTVT: Interpretable spatial-temporal video transformer for deepfake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning ISTVT: Interpretable spatial-temporal video transformer for deepfake detection,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:34.686799Z

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Observation cb0d8bcf-903c-4aad-a7a4-7f8ac99d83c4 · outbound

This paper cites M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection

Reference 37

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Observation 2debe240-ec26-4134-b270-3337f442cf87 · outbound

This paper cites Protecting Celebrities from DeepFake with Identity Consistency Transformer.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Protecting Celebrities from DeepFake with Identity Consistency Transformer

Reference 38

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Observation c6e011ce-b672-497b-b9fb-26c8904c93bd · outbound

This paper cites UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:20.917568Z

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Observation e36e4ee7-c3fd-4a39-b74b-b579242ccbbd · outbound

This paper cites Video Transformer for Deepfake Detection with Incremental Learning.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Video Transformer for Deepfake Detection with Incremental Learning

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:52:25.670417Z

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Observation 99ec6909-e6b4-4ce1-9a61-1d906b6b59b2 · outbound

This paper cites GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:52:25.549176Z

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Observation 569f392e-0e12-44ba-9f1d-1f14cbadbfe2 · outbound

This paper cites Forgery-aware adaptive learning with vision transformer for generalized face forgery detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Forgery-aware adaptive learning with vision transformer for generalized face forgery detection,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:34.485123Z

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Observation 6128f0a7-a356-464c-8e1b-4d9c84b7d8fc · outbound

This paper cites Tex-ViT: A generalizable, ro- bust, texture-based dual-branch cross-attention deepfake detector,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Tex-ViT: A generalizable, ro- bust, texture-based dual-branch cross-attention deepfake detector,

Reference 43

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Observation 49dd6dae-bf80-4e78-ae7a-2ee9667fdab1 · outbound

This paper cites Attributing fake images to GANs: learning and analyzing gan fingerprints,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Attributing fake images to GANs: learning and analyzing gan fingerprints,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:34.336737Z

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Observation d3ee18e7-31a8-4485-9c78-0d67d3eab04b · outbound

This paper cites CORE: Consis- tent representation learning for face forgery detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning CORE: Consis- tent representation learning for face forgery detection,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:34.155271Z

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Observation a6cf1549-5282-4f6d-9a57-ddba6178b927 · outbound

This paper cites Learning self- consistency for deepfake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Learning self- consistency for deepfake detection,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:34.014661Z

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Observation 6165cdf9-cc50-4b5a-ac55-d4f88acfae28 · outbound

This paper cites Implicit identity leakage: The stumbling block to improving deepfake detection generalization,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Implicit identity leakage: The stumbling block to improving deepfake detection generalization,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:33.816209Z

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Observation 87020cb9-d922-472e-8981-5c3f90887793 · outbound

This paper cites UCF: Uncovering common features for generalizable deepfake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning UCF: Uncovering common features for generalizable deepfake detection,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:33.553757Z

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Observation ff1ac649-d025-4366-805c-85153ed394fe · outbound

This paper cites Towards universal fake image detec- tors that generalize across generative models,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Towards universal fake image detec- tors that generalize across generative models,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:33.355638Z

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Observation 07fbc0eb-0b81-4482-bdd9-f2e926e17354 · outbound

This paper cites Detecting deepfakes with self-blended images,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Detecting deepfakes with self-blended images,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:33.221159Z

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Observation 32ddd8e9-58bc-4476-aa9a-d3ce28d72772 · outbound

This paper cites End-to- end reconstruction-classification learning for face forgery detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning End-to- end reconstruction-classification learning for face forgery detection,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:32.992057Z

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Observation 85e15081-55e0-4b3f-9126-faaa8df35bd3 · outbound

This paper cites Boosting deepfake detection generalizability via expansive learning and confi- dence judgement,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Boosting deepfake detection generalizability via expansive learning and confi- dence judgement,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:32.801537Z

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Observation a6635973-25d9-4973-82f3-10042a5c7faf · outbound

This paper cites PV ASS–MDD: Predictive visual–audio alignment self-supervision for multimodal deep- fake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning PV ASS–MDD: Predictive visual–audio alignment self-supervision for multimodal deep- fake detection,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:32.625417Z

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 61596411-d9b1-4f4b-829d-b9db7a7e48a4 · outbound

This paper cites MCL: Multimodal contrastive learning for deepfake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning MCL: Multimodal contrastive learning for deepfake detection,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:32.417405Z

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 f6ffdef3-953f-4376-bb4d-1d9cc416039d · outbound

This paper cites Supervised contrastive learning for generalizable and explainable deepfakes detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Supervised contrastive learning for generalizable and explainable deepfakes detection,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:32.254108Z

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

Observation 2cbe84ad-347e-4ff5-a1be-8881d71775aa · outbound

This paper cites Hierarchical contrastive inconsistency learning for deepfake video detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Hierarchical contrastive inconsistency learning for deepfake video detection,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:22.737611Z

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Observation fa126c4e-aafd-4ce5-b633-d2638d121013 · outbound

This paper cites Depth map guided triplet network for deepfake face detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Depth map guided triplet network for deepfake face detection,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:32.079823Z

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

Observation 1b40731d-c8f3-4605-8f67-296a7bf3ae10 · outbound

This paper cites Detecting deepfakes with metric learning,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Detecting deepfakes with metric learning,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:31.918505Z

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 c255f31d-1c3b-4283-9808-aa62a1dcd5de · outbound

This paper cites EANN: Event adversarial neural networks for multi-modal fake news detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning EANN: Event adversarial neural networks for multi-modal fake news detection,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:31.725386Z

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

Observation d787e862-67c2-47ff-b966-39355d1b2bc2 · outbound

This paper cites Distance metric learning for large margin nearest neighbor classification,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Distance metric learning for large margin nearest neighbor classification,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:31.517445Z

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

Observation c5b3bb84-6a66-4be7-831c-ff29da9a72d4 · outbound

This paper cites Learning a similarity metric discriminatively, with application to face verification,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Learning a similarity metric discriminatively, with application to face verification,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:31.304480Z

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

Observation a146a7df-01e3-4feb-b12f-24b81b21a090 · outbound

This paper cites Deep metric learning via lifted structured feature embedding,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Deep metric learning via lifted structured feature embedding,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:31.118070Z

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 47490bea-ec76-43b8-8ed2-0a22708c37ae · outbound

This paper cites Signature verification using a “Siamese.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Signature verification using a “Siamese

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:30.948716Z

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 3f55aaf0-97ad-4676-9113-894847dff7ba · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Learning transferable visual models from natural language supervision,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:30.800644Z

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 96065746-6dbf-4003-bce5-22e61a460ee2 · outbound

This paper cites DeepFake detection dataset,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning DeepFake detection dataset,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:30.661411Z

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 cd37b1ee-a926-4f70-93aa-54390c23eea8 · outbound

This paper cites Deepfakes,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Deepfakes,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:30.478288Z

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 7a949168-1367-42d3-b72d-5b708cdca93b · outbound

This paper cites Face2Face: Real-time face capture and reenactment of RGB videos,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Face2Face: Real-time face capture and reenactment of RGB videos,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:30.295263Z

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 d306a3cf-8bfa-472d-8e38-9b92c27f5b0f · outbound

This paper cites FaceSwap,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning FaceSwap,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:30.115111Z

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 574dcb0e-8e95-4214-8a1a-b564986336b6 · outbound

This paper cites Deferred neural rendering: Image synthesis using neural textures,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Deferred neural rendering: Image synthesis using neural textures,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:29.949519Z

Source-reported events for the cited work

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Observation c7d3ddde-70c2-4f67-a54f-09eb4db9072f · outbound

This paper cites Celeb-DF: A large- scale challenging dataset for deepfake forensics,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Celeb-DF: A large- scale challenging dataset for deepfake forensics,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:29.814539Z

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 c05a6b4e-dc4d-4bff-882f-9126e57f49fc · outbound

This paper cites The DeepFake Detection Challenge (DFDC) Dataset.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning The DeepFake Detection Challenge (DFDC) Dataset

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:24.225416Z

Source-reported events for the cited work

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Observation b0f2a778-9b53-4512-acf1-d8c3c117ce47 · outbound

This paper cites The Deepfake Detection Challenge (DFDC) Preview Dataset.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning The Deepfake Detection Challenge (DFDC) Preview Dataset

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:24.321669Z

Source-reported events for the cited work

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Observation 06df1640-b857-4689-aa3e-75d622a47e4f · outbound

This paper cites Marlin: Masked autoencoder for facial video representation learning,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Marlin: Masked autoencoder for facial video representation learning,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:29.615950Z

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 cf0d44f0-1005-42a5-9fa6-cbe26c20a4e1 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Adam: A Method for Stochastic Optimization

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:24.442886Z

Source-reported events for the cited work

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Observation 2eed9357-6ea4-4737-82f0-373e3cdcb207 · outbound

This paper cites MesoNet: A compact facial video forgery detection network,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning MesoNet: A compact facial video forgery detection network,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:29.439403Z

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

Observation dc8edc0e-7837-4391-831c-43ce7f0a37ec · outbound

This paper cites Deep residual learning for image recognition,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Deep residual learning for image recognition,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:29.256740Z

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 477c02ff-d793-45b7-af94-718bd9320c3f · outbound

This paper cites Generalizing face forgery de- tection with high-frequency features,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Generalizing face forgery de- tection with high-frequency features,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:29.007151Z

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 6f0a0192-b821-4ca9-a444-53a097e05e0e · outbound

This paper cites Capsule-Forensics: Using capsule networks to detect forged images and videos,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Capsule-Forensics: Using capsule networks to detect forged images and videos,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:28.719526Z

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 e487f72d-0bc4-450e-a614-e5644c787397 · outbound

This paper cites Dynamic routing between capsules,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Dynamic routing between capsules,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:28.497350Z

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 8eab0d74-5269-4a81-9158-05a5845ea817 · outbound

This paper cites Exposing deepfake videos by detecting face warping artifacts,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Exposing deepfake videos by detecting face warping artifacts,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:28.277205Z

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 28925f51-dedb-4c30-8772-ad3d977ddf38 · outbound

This paper cites Deep high-resolution representation learning for visual recognition,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Deep high-resolution representation learning for visual recognition,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:27.971047Z

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 38903369-6b11-4fbd-8e1a-a8ec39ac78e6 · outbound

This paper cites On the detection of digital face manipulation,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning On the detection of digital face manipulation,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:27.624260Z

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 e0559411-fb80-423f-a6f9-c2e5c5a51659 · outbound

This paper cites Transcending forgery specificity with latent space augmentation for generalizable deepfake detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Transcending forgery specificity with latent space augmentation for generalizable deepfake detection,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:27.349262Z

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 f36f7c70-6688-49fb-96be-c0a59eacb4af · outbound

This paper cites Orthogonal subspace decomposition for generalizable AI-generated image detection,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Orthogonal subspace decomposition for generalizable AI-generated image detection,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:27.095125Z

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 3481604b-dd4f-4085-a306-a9209f5f6817 · outbound

This paper cites Visualizing data using t-SNE,.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Visualizing data using t-SNE,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:26.761304Z

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 2d86001f-4424-464f-993b-c66d23e54751 · outbound

This paper cites DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning

Reference 2021

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T21:52:25.334032Z

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 09de2cff-8572-4fc3-9ba9-6da0026aef0a · outbound

This paper cites Available: https://linkinghub.elsevier.com/retrieve/pii/ S0952197623016275 2.

Trident: Detecting Face Forgeries with Adversarial Triplet Learning Available: https://linkinghub.elsevier.com/retrieve/pii/ S0952197623016275 2

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:52:37.331081Z

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

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