Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning | Paper Citation Record

Observation 5e4fd2be-169b-4679-bcbd-f5b258329c14 · outbound

This paper cites Casia-surf: A large-scale multi-modal benchmark for face anti-spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Casia-surf: A large-scale multi-modal benchmark for face anti-spoofing,

Reference 1

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Observation 0bdf1916-cdb7-4ccd-978e-52f861719ca2 · outbound

This paper cites On the effectiveness of local binary patterns in face anti-spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning On the effectiveness of local binary patterns in face anti-spoofing,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.588041Z

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Observation 9297f6f3-6861-4f4b-84c3-a935fd86b9c9 · outbound

This paper cites Contrastive context-aware learning for 3d high-fidelity mask face presentation attack detection,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Contrastive context-aware learning for 3d high-fidelity mask face presentation attack detection,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.592644Z

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Observation c402bb91-f929-4788-b5b8-7d56a8f2d205 · outbound

This paper cites Biometric face presentation attack detection with multi-channel convolutional neural network,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Biometric face presentation attack detection with multi-channel convolutional neural network,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.596909Z

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Observation f46fa24b-b310-4edb-b150-dd9bcc4cf45d · outbound

This paper cites Learning deep models for face anti-spoofing: Binary or auxiliary supervision,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Learning deep models for face anti-spoofing: Binary or auxiliary supervision,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.601482Z

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Observation 756469e6-b8a5-44bd-b964-4e522d1e61b3 · outbound

This paper cites Deep pixel-wise binary supervision for face presentation attack detection,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Deep pixel-wise binary supervision for face presentation attack detection,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.606248Z

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Observation b52a4aa0-63b4-4527-b2db-a143cd7aabbf · outbound

This paper cites Face anti-spoofing via disentangled repre- sentation learning,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Face anti-spoofing via disentangled repre- sentation learning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.611228Z

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Observation 06f54330-fe63-4f93-9323-2d532b9492fc · outbound

This paper cites Nas-fas: Static- dynamic central difference network search for face anti-spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Nas-fas: Static- dynamic central difference network search for face anti-spoofing,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.615453Z

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Observation efe0aac0-7765-4858-a7c7-9275a40b2f4d · outbound

This paper cites Drl-fas: A novel framework based on deep reinforcement learning for face anti- spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Drl-fas: A novel framework based on deep reinforcement learning for face anti- spoofing,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.619702Z

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Observation 1d244dca-8af5-4a9d-af1b-ad1aabac518c · outbound

This paper cites Disentangling facial pose and appearance information for face anti-spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Disentangling facial pose and appearance information for face anti-spoofing,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.623771Z

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Observation f6afa2b9-e60c-4aea-b69f-cb133091e7ba · outbound

This paper cites Patchnet: A simple face anti-spoofing framework via fine-grained patch recognition,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Patchnet: A simple face anti-spoofing framework via fine-grained patch recognition,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.627976Z

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Observation 3c955854-0f72-470b-92b6-e193f429db31 · outbound

This paper cites Towards unsupervised domain generalization for face anti-spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Towards unsupervised domain generalization for face anti-spoofing,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.632118Z

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Observation 2f6823eb-a13f-4c80-99d7-b56524b3ca79 · outbound

This paper cites Rethinking domain generalization for face anti-spoofing: Separability and alignment,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Rethinking domain generalization for face anti-spoofing: Separability and alignment,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.636418Z

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Observation 5a54c9cf-51c4-47d8-9442-c17f0e6e3134 · outbound

This paper cites Instance-aware domain generalization for face anti-spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Instance-aware domain generalization for face anti-spoofing,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.640455Z

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Observation a4a94bed-0c26-4a8c-b47b-d93685dcb317 · outbound

This paper cites Flip: Cross-domain face anti-spoofing with language guidance,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Flip: Cross-domain face anti-spoofing with language guidance,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:12.070517Z

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Observation 0783909f-670e-4ca0-a37c-6585df65da95 · outbound

This paper cites Gradient alignment for cross-domain face anti-spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Gradient alignment for cross-domain face anti-spoofing,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:12.056964Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3f1b872a-92ff-4e90-8d24-4a3e0dde57f7 · outbound

This paper cites Test-time domain generalization for face anti-spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Test-time domain generalization for face anti-spoofing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:12.043296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a2b81d6-a56b-4eed-bdbc-64826baeff64 · outbound

This paper cites Safa: Structure aware face anima- tion,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Safa: Structure aware face anima- tion,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:12.029510Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ead7b4d9-ab36-4cf0-8c16-151b1cc79a51 · outbound

This paper cites Star- gan: Unified generative adversarial networks for multi-domain image-to-image translation,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Star- gan: Unified generative adversarial networks for multi-domain image-to-image translation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:12.014961Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 347472d6-4ba1-472b-b1ec-4d0fe24abe2d · outbound

This paper cites Facedancer: Pose-and occlusion-aware high fidelity face swap- ping,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Facedancer: Pose-and occlusion-aware high fidelity face swap- ping,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:12.001290Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 743aa02e-fdea-4dc6-abbc-1e2426570fa7 · outbound

This paper cites Simswap: An efficient framework for high fidelity face swapping,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Simswap: An efficient framework for high fidelity face swapping,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.987992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc97760a-f614-4e6f-bc29-23b26171e642 · outbound

This paper cites Depth-aware gener- ative adversarial network for talking head video generation,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Depth-aware gener- ative adversarial network for talking head video generation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.973464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e7cf9b27-8a81-45c5-b128-ad7811e3aedd · outbound

This paper cites One-shot free-view neural talking-head synthesis for video conferencing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning One-shot free-view neural talking-head synthesis for video conferencing,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.957856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6618d3ae-6963-4965-b1ac-4af0c3761510 · outbound

This paper cites Making adversarial examples more transferable and indistinguishable,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Making adversarial examples more transferable and indistinguishable,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.945320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 37bf2508-a689-4444-a412-61c9744da30b · outbound

This paper cites Ila-da: Improving transferability of intermediate level attack with data augmenta- tion,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Ila-da: Improving transferability of intermediate level attack with data augmenta- tion,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.931565Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 30ad67c3-5556-4cac-9b58-ae08a51b7acc · outbound

This paper cites Boosting adversarial transferability across model genus by deformation-constrained warping,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Boosting adversarial transferability across model genus by deformation-constrained warping,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.917082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 60a53d64-ad95-4047-8c97-66ae7e3e8d65 · outbound

This paper cites Ex- ploring misclassifications of robust neural networks to enhance adversarial attacks,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Ex- ploring misclassifications of robust neural networks to enhance adversarial attacks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.902857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9e0bbed3-d702-4ad8-bd24-68cfb95f93ab · outbound

This paper cites Frequency- driven imperceptible adversarial attack on semantic similarity,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Frequency- driven imperceptible adversarial attack on semantic similarity,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.693655Z

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Unavailable: canonical work link unavailable.

Observation 5a790a62-2e74-44b0-b131-06c3d6a5c318 · outbound

This paper cites Towards transferable adversarial attacks on vision transformers,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Towards transferable adversarial attacks on vision transformers,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.880593Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 80dfedd4-9ace-4c75-88bc-d924d9bc62b7 · outbound

This paper cites Transferable adversar- ial attacks on vision transformers with token gradient regulariza- tion,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Transferable adversar- ial attacks on vision transformers with token gradient regulariza- tion,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.867417Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5ef91e0a-4485-46ac-bf4c-0fdaa7b5b118 · outbound

This paper cites ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preserving

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.705623Z

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Observation b7f0384a-e930-4f51-82f8-d68cb49564b6 · outbound

This paper cites PuLID: Pure and Lightning ID Customization via Contrastive Alignment.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning PuLID: Pure and Lightning ID Customization via Contrastive Alignment

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.710163Z

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Observation 5cf79cd4-87ba-47f6-9e2e-3be12e7270c6 · outbound

This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.714549Z

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Unavailable: canonical work link unavailable.

Observation e394419d-7b64-4663-b865-9c0efe68c025 · outbound

This paper cites Real appearance modeling for more general deepfake detection,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Real appearance modeling for more general deepfake detection,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.853565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4ee71a75-65e6-4ed1-bfe9-bf1da03f70be · outbound

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

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Implicit identity leakage: The stumbling block to improving deepfake detection generalization,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.840087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation da368243-3a5f-49e4-98b9-922c847e2681 · outbound

This paper cites Exploiting style latent flows for generalizing deepfake video detection,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Exploiting style latent flows for generalizing deepfake video detection,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.825304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 09f0c66d-39fc-49d8-a375-1068bb1b67f8 · outbound

This paper cites Unified detection of digital and physical face attacks,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Unified detection of digital and physical face attacks,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.813236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4614928a-af72-485d-80de-bb2c9e659907 · outbound

This paper cites Benchmark- ing joint face spoofing and forgery detection with visual and physiological cues,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Benchmark- ing joint face spoofing and forgery detection with visual and physiological cues,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.799599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 865444df-f9b0-415e-a7ed-ccb59055c0be · outbound

This paper cites Unified Physical-Digital Face Attack Detection.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Unified Physical-Digital Face Attack Detection

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.739799Z

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Unavailable: canonical work link unavailable.

Observation abdeb26e-2600-46c7-a6d1-ce798521d80b · outbound

This paper cites A face antispoofing database with diverse attacks,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning A face antispoofing database with diverse attacks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.784820Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8ead54f1-f9ad-436d-9d32-871d3eee6a19 · outbound

This paper cites Face spoof detection with image distortion analysis,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Face spoof detection with image distortion analysis,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.771122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fbd636fb-ddd9-40f6-bd34-badd2bf13431 · outbound

This paper cites A 3d mask face anti- spoofing database with real world variations,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning A 3d mask face anti- spoofing database with real world variations,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.757607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 63fe7a64-29d0-496d-a2f1-6f23ce062647 · outbound

This paper cites Oulu-npu: A mobile face presentation attack database with real- world variations,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Oulu-npu: A mobile face presentation attack database with real- world variations,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.743513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9af6c87c-034f-477b-9e09-103ee025bbaf · outbound

This paper cites Unsu- pervised domain adaptation for face anti-spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Unsu- pervised domain adaptation for face anti-spoofing,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.730296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a597a770-8a27-4a98-8877-97ac70345983 · outbound

This paper cites Celeba-spoof: Large-scale face anti-spoofing dataset with rich annotations,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Celeba-spoof: Large-scale face anti-spoofing dataset with rich annotations,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.716389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 19b956e1-0e2e-4129-8252-eda4b5ab13ff · outbound

This paper cites Nas-fas: Static- dynamic central difference network search for face anti-spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Nas-fas: Static- dynamic central difference network search for face anti-spoofing,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.703086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 98a69a12-e650-49e2-baa0-0c9a40d3c4da · outbound

This paper cites Multi-domain learning for updating face anti-spoofing models,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Multi-domain learning for updating face anti-spoofing models,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.690857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf997ed5-b718-4f4b-a3af-71adf2e5b140 · outbound

This paper cites Detection and continual learning of novel face pre- sentation attacks,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Detection and continual learning of novel face pre- sentation attacks,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.677833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7fe43758-eb20-4cab-bfb8-85ab739f7600 · outbound

This paper cites Deepfakes detection dataset,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Deepfakes detection dataset,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.664273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation daa6af44-74e7-4707-a1c4-bbc1ef8a6f2b · outbound

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

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning The Deepfake Detection Challenge (DFDC) Preview Dataset

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.783354Z

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Unavailable: canonical work link unavailable.

Observation 333f23a8-d329-4cd3-bfd5-062617cea4f6 · outbound

This paper cites Faceforensics++: Learning to detect manipulated fa- cial images,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Faceforensics++: Learning to detect manipulated fa- cial images,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.650256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b711f0a-3f18-45fe-a889-133338dcd110 · outbound

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

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Celeb-df: A large-scale challenging dataset for deepfake forensics,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.636198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b655f548-7e75-4bbb-9c7a-d3b3402f87ff · outbound

This paper cites Deeperforensics- 1.0: A large-scale dataset for real-world face forgery detection,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Deeperforensics- 1.0: A large-scale dataset for real-world face forgery detection,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.621215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation acfebec3-87d8-481d-a10d-b5d9323adef2 · outbound

This paper cites Face forensics in the wild,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Face forensics in the wild,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.606648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb9779bd-ac04-4e3a-91ea-5c877706e1ab · outbound

This paper cites Forgerynet: A versatile benchmark for face forgery detection and localization,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Forgerynet: A versatile benchmark for face forgery detection and localization,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.592724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 906b5646-78bd-4390-b603-73a0aa440c5a · outbound

This paper cites Casia- surf cefa: A benchmark for multi-modal cross-ethnicity face anti- spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Casia- surf cefa: A benchmark for multi-modal cross-ethnicity face anti- spoofing,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.578456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c027fdd7-16a7-45f5-90ca-70cc6dddacb8 · outbound

This paper cites La- softmoe clip for unified physical-digital face attack detection,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning La- softmoe clip for unified physical-digital face attack detection,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.562071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fee6ca0e-18b2-49c4-8f99-298a43ae26f1 · outbound

This paper cites Mixture-of-attack-experts with class regularization for unified physical-digital face attack detection,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Mixture-of-attack-experts with class regularization for unified physical-digital face attack detection,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.548930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fc0dc271-082c-4e99-b30d-a8623c2cc262 · outbound

This paper cites FA^{3}-CLIP: Frequency-Aware Cues Fusion and Attack-Agnostic Prompt Learning for Unified Face Attack Detection.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning FA^{3}-CLIP: Frequency-Aware Cues Fusion and Attack-Agnostic Prompt Learning for Unified Face Attack Detection

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:24:11.121373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a7ca779-b216-4e25-bdeb-6e1a11e4f5b6 · outbound

This paper cites facenet-pytorch,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning facenet-pytorch,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.535853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f79bb0a-29f7-4890-a4e5-314ec06d29c5 · outbound

This paper cites Ghost—a new face swap approach for image and video domains,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Ghost—a new face swap approach for image and video domains,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.523194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6f95c57f-592f-4a79-873b-abf647726d4a · outbound

This paper cites Facial geometric detail recovery via implicit representation,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Facial geometric detail recovery via implicit representation,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.508780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a775233b-e8b5-430f-929b-73a5454a010b · outbound

This paper cites Blendface: Re-designing identity encoders for face-swapping,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Blendface: Re-designing identity encoders for face-swapping,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.831580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecd87a93-8491-4a9a-a4e6-43574d8ac6cf · outbound

This paper cites Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.835424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acbd282e-2acf-44ac-8cfa-ac551241a81b · outbound

This paper cites Motion representations for articulated animation,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Motion representations for articulated animation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.485487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4a06ed1d-1829-4d73-b807-527e44fa32d6 · outbound

This paper cites Information bottle- neck disentanglement for identity swapping,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Information bottle- neck disentanglement for identity swapping,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.471524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 787d1dc3-62fc-4e86-9d7a-8a9d03e43c68 · outbound

This paper cites One shot face swapping on megapixels,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning One shot face swapping on megapixels,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.457440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 63cba4dd-12b3-46d7-be26-447f6991b2c4 · outbound

This paper cites HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.853352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84e3e2af-da4c-4c19-9071-07ded4c81b4b · outbound

This paper cites Diffswap: High-fidelity and controllable face swapping via 3d-aware masked diffusion,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Diffswap: High-fidelity and controllable face swapping via 3d-aware masked diffusion,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.441776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 996cefc1-c1fd-4915-bfc3-e68f96598ba2 · outbound

This paper cites (2024) Deep-live-cam: Real-time face swapping and animation tool.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning (2024) Deep-live-cam: Real-time face swapping and animation tool

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.424949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 42931281-4216-40a4-824b-0f77b60550ae · outbound

This paper cites Roop: One-image face swap on video,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Roop: One-image face swap on video,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.411784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 74545675-8148-4acb-ba60-bc095aee737f · outbound

This paper cites Augmented lagrangian adversarial attacks,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Augmented lagrangian adversarial attacks,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.398273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation af6e4775-41d8-4b06-9e3e-2d114f624cb2 · outbound

This paper cites Advdrop: Adversarial attack to dnns by dropping information,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Advdrop: Adversarial attack to dnns by dropping information,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.384344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc3fdde8-fc83-4898-b6fb-d239e29bf90c · outbound

This paper cites Reliable evaluation of adversarial ro- bustness with an ensemble of diverse parameter-free attacks,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Reliable evaluation of adversarial ro- bustness with an ensemble of diverse parameter-free attacks,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.878933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e40ec074-6ee6-482b-a5fc-5bbfa69219c0 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.883345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcdea9bc-8419-4abf-8d81-598217a113cb · outbound

This paper cites Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.887897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ae63dd9-adb4-4d70-b4b9-11d79fc5482e · outbound

This paper cites Patch-wise++ Perturbation for Adversarial Targeted Attacks.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Patch-wise++ Perturbation for Adversarial Targeted Attacks

Reference 77

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:24:11.045345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ca249589-f7b5-46b4-9f6e-d25dda3c897c · outbound

This paper cites Pixle: a fast and effective black-box attack based on rearranging pixels,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Pixle: a fast and effective black-box attack based on rearranging pixels,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.361464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 85a86855-a528-4619-99fc-467c3dc28d3f · outbound

This paper cites Enhancing the transferability of adversarial attacks through variance tuning,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Enhancing the transferability of adversarial attacks through variance tuning,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.346742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a9c79061-02fe-4587-a9f8-23a8a970391a · outbound

This paper cites Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Demiguise Attack: Crafting Invisible Semantic Adversarial Perturbations with Perceptual Similarity

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.903717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 353588f6-8ee4-46b3-9408-bc0c6164887e · outbound

This paper cites Photomaker: Customizing realistic human photos via stacked id embedding,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Photomaker: Customizing realistic human photos via stacked id embedding,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.332654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b6b1054a-d3be-440f-a4b7-026c777adee4 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.910851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61060bde-4de8-4df4-934d-de2635dc30d4 · outbound

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

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Learning transferable visual models from natural language supervision,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.914837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8053a13-60dc-4bef-9177-62afbc143c29 · outbound

This paper cites Attention is all you need,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Attention is all you need,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.918337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41807c5f-9f05-4b30-80f9-8f56c347f8c5 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.923478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8884a0c1-1640-441f-947e-ad8d2e43b7cc · outbound

This paper cites Learning to prompt for vision-language models,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Learning to prompt for vision-language models,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.927534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4c21779-8517-4521-8ccf-2cf5303f0ce0 · outbound

This paper cites Visual prompt tuning,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Visual prompt tuning,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.931462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5d9f5f2-b37c-40b7-9375-ddb0b96c1cb0 · outbound

This paper cites Visual prompt flexible- modal face anti-spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Visual prompt flexible- modal face anti-spoofing,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.274770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 911520d3-4442-4ef7-8c33-027e85b6b27d · outbound

This paper cites Searching central difference convolutional networks for face anti- spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Searching central difference convolutional networks for face anti- spoofing,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.259788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e0e8c2c2-9ebe-4140-a5f4-034392ebc2bf · outbound

This paper cites Cfpl-fas: Class free prompt learning for generalizable face anti-spoofing,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Cfpl-fas: Class free prompt learning for generalizable face anti-spoofing,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.247208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 018ec813-b59a-4674-9e2a-12148d9edbee · outbound

This paper cites MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-15T20:24:10.947931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb0459e6-d3f2-41c8-b133-7d8a18861c3b · outbound

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

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Laa-net: Localized artifact attention network for quality-agnostic and generalizable deepfake detection,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.234249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 99e98973-8365-4111-af08-9fdc2a9636a1 · outbound

This paper cites Mesonet: a compact facial video forgery detection network,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Mesonet: a compact facial video forgery detection network,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.220469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation add5aa00-a030-4026-ac3a-348b09e882a7 · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions,.

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning Xception: Deep learning with depthwise separable convolutions,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:24:11.206228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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