Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection | Paper Citation Record

Observation cbbacc3b-a02b-49e0-9c14-df8b8006a1f2 · outbound

This paper cites Progressive growing of GANs for improved quality, stability, and variation,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Progressive growing of GANs for improved quality, stability, and variation,

Reference 1

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This paper cites A style-based generator architecture for generative adversarial networks,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection A style-based generator architecture for generative adversarial networks,

Reference 2

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This paper cites Alias-free generative adversarial networks,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Alias-free generative adversarial networks,

Reference 3

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This paper cites faceswap github,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection faceswap github,

Reference 4

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This paper cites Deep- facelab: Integrated, flexible and extensible face-swapping framework,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Deep- facelab: Integrated, flexible and extensible face-swapping framework,

Reference 5

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

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Simswap: An efficient framework for high fidelity face swapping,

Reference 6

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This paper cites Information bottleneck disentanglement for identity swapping,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Information bottleneck disentanglement for identity swapping,

Reference 7

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This paper cites Mobilefaceswap: A lightweight framework for video face swapping,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Mobilefaceswap: A lightweight framework for video face swapping,

Reference 8

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

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Blendface: Re-designing identity encoders for face-swapping,

Reference 9

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This paper cites ” deepfakes.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection ” deepfakes

Reference 10

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This paper cites Diff-foley: Synchronized video- to-audio synthesis with latent diffusion models,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Diff-foley: Synchronized video- to-audio synthesis with latent diffusion models,

Reference 11

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This paper cites Diffusion self-guidance for controllable image generation,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Diffusion self-guidance for controllable image generation,

Reference 12

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This paper cites Toontalker: Cross-domain face reenactment,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Toontalker: Cross-domain face reenactment,

Reference 13

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This paper cites Learning dense correspondence for nerf-based face reenactment,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Learning dense correspondence for nerf-based face reenactment,

Reference 14

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Observation e6a942c1-9010-47f2-8776-4f350520a6f0 · outbound

This paper cites Deepfake: Creation, purpose, risks,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Deepfake: Creation, purpose, risks,

Reference 15

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This paper cites Defending informational sovereignty by detecting deepfakes: Risks and opportunities of an ai- based detector for deepfake-based disinformation and illegal activities,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Defending informational sovereignty by detecting deepfakes: Risks and opportunities of an ai- based detector for deepfake-based disinformation and illegal activities,

Reference 16

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

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Celeb-df: A large-scale challenging dataset for deepfake forensics,

Reference 17

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

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Transcending forgery specificity with latent space augmentation for generalizable deepfake detection,

Reference 18

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This paper cites In Ictu Oculi: Exposing AI generated fake face videos by detecting eye blinking,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection In Ictu Oculi: Exposing AI generated fake face videos by detecting eye blinking,

Reference 19

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Observation 7d88a0a8-c1dd-48e4-af9b-6c4d57235f76 · outbound

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

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Exposing deepfake videos by detecting face warping artifacts,

Reference 20

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Observation 6f589f66-ddf2-4e1b-b416-3eff85d7a99e · outbound

This paper cites Diff-id: An explainable identity difference quantification framework for deepfake detection,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Diff-id: An explainable identity difference quantification framework for deepfake detection,

Reference 21

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Observation a97cda8b-7d39-433c-8337-73b5a9a595fb · outbound

This paper cites Learning second order local anomaly for general face forgery detection,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Learning second order local anomaly for general face forgery detection,

Reference 22

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This paper cites Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection,

Reference 23

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This paper cites Dynamic graph learning with content-guided spatial-frequency relation reasoning for deepfake detection,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Dynamic graph learning with content-guided spatial-frequency relation reasoning for deepfake detection,

Reference 24

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This paper cites Exposing the deception: Uncovering more forgery clues for deepfake detection,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Exposing the deception: Uncovering more forgery clues for deepfake detection,

Reference 25

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Observation d4fca4f4-6c39-46e5-8cd8-2b9ddd685a54 · outbound

This paper cites S3fd: Single shot scale-invariant face detector,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection S3fd: Single shot scale-invariant face detector,

Reference 26

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This paper cites Pyramidbox: A context-assisted single shot face detector,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Pyramidbox: A context-assisted single shot face detector,

Reference 27

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This paper cites Face poison: Obstructing deepfakes by disrupting face detection,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Face poison: Obstructing deepfakes by disrupting face detection,

Reference 28

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Observation affc39e1-2406-46bc-829e-56ac912e1657 · outbound

This paper cites FakeApp,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection FakeApp,

Reference 29

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This paper cites DFaker github,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection DFaker github,

Reference 30

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This paper cites faceswap-GAN github,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection faceswap-GAN github,

Reference 31

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This paper cites Toward multimodal image-to-image translation,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Toward multimodal image-to-image translation,

Reference 32

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This paper cites Generative adversarial nets,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Generative adversarial nets,

Reference 33

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This paper cites Denoising diffusion probabilistic models,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Denoising diffusion probabilistic models,

Reference 34

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This paper cites Collaborative diffusion for multi-modal face generation and editing,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Collaborative diffusion for multi-modal face generation and editing,

Reference 35

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This paper cites Strokefacenerf: Stroke- based facial appearance editing in neural radiance field,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Strokefacenerf: Stroke- based facial appearance editing in neural radiance field,

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

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection StarGAN: Unified generative adversarial networks for multi-domain image-to- image translation,

Reference 37

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This paper cites Generative landmark guided face inpainting,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Generative landmark guided face inpainting,

Reference 38

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This paper cites Unmasking your expression: Expression- conditioned gan for masked face inpainting,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Unmasking your expression: Expression- conditioned gan for masked face inpainting,

Reference 39

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This paper cites Retinaface: Single-shot multi-level face localisation in the wild,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Retinaface: Single-shot multi-level face localisation in the wild,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:40.011620Z

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This paper cites Yolo5face: Why reinventing a face detector,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Yolo5face: Why reinventing a face detector,

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This paper cites Dsfd: dual shot face detector,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Dsfd: dual shot face detector,

Reference 42

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This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Very Deep Convolutional Networks for Large-Scale Image Recognition

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This paper cites Deep residual learning for image recognition,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Deep residual learning for image recognition,

Reference 44

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This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

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This paper cites Shufflenet: An extremely efficient convolutional neural network for mobile devices,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Shufflenet: An extremely efficient convolutional neural network for mobile devices,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.956997Z

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This paper cites Wider face: A face detection benchmark,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Wider face: A face detection benchmark,

Reference 47

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This paper cites Explaining and harness- ing adversarial examples,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Explaining and harness- ing adversarial examples,

Reference 48

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This paper cites Adversarial examples in the physical world,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Adversarial examples in the physical world,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.912486Z

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This paper cites Deepfool: a simple and accurate method to fool deep neural networks,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Deepfool: a simple and accurate method to fool deep neural networks,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.897602Z

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This paper cites Boosting adversarial attacks with momentum,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Boosting adversarial attacks with momentum,

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This paper cites Taking care of the discretization problem: A comprehensive study of the discretization problem and a black-box adversarial attack in discrete integer domain,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Taking care of the discretization problem: A comprehensive study of the discretization problem and a black-box adversarial attack in discrete integer domain,

Reference 52

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This paper cites Image transformation- based defense against adversarial perturbation on deep learning mod- els,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Image transformation- based defense against adversarial perturbation on deep learning mod- els,

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.850773Z

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Observation dcd4ab3a-f662-47bc-9e1c-29f6c808f1c5 · outbound

This paper cites Invisible adversarial attack against deep neural networks: An adaptive penalization approach,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Invisible adversarial attack against deep neural networks: An adaptive penalization approach,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.836219Z

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Observation 876b5010-8326-4536-824a-61fd080d5c7c · outbound

This paper cites Decision-based query efficient adversarial attack via adaptive boundary learning,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Decision-based query efficient adversarial attack via adaptive boundary learning,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.821143Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6b329e1d-657e-4db5-b467-553efb9b0441 · outbound

This paper cites Improving transferability of adversarial examples with input diversity,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Improving transferability of adversarial examples with input diversity,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.806548Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e94f638b-1a70-46b5-a93d-c7460114d704 · outbound

This paper cites Nesterov accelerated gradient and scale invariance for adversarial attacks,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Nesterov accelerated gradient and scale invariance for adversarial attacks,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T04:45:38.893717Z

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Observation 19ae31f9-dca3-4915-9c3c-96cdccb2d470 · outbound

This paper cites A method for unconstrained convex minimization prob- lem with the rate of convergence o (1/k2),.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection A method for unconstrained convex minimization prob- lem with the rate of convergence o (1/k2),

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.782361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ad13d22e-2ef7-4971-adc1-1561ae9c9436 · outbound

This paper cites A bayesian-mrf approach for prnu-based image forgery detection,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection A bayesian-mrf approach for prnu-based image forgery detection,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.767741Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f33e1b66-b30e-46b2-af3e-8badae39f07f · outbound

This paper cites Photo fakery and forensics,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Photo fakery and forensics,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.752694Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a7aabbda-b713-45f9-b83a-7e110c5d7a48 · outbound

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

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Exposing deep fakes using inconsistent head poses,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.738002Z

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Observation 7cc2cd54-8849-447b-8ee5-6ed8da65b9eb · outbound

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

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Face x-ray for more general face forgery detection,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.723881Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2fb9cfef-580d-421e-ace3-08940fa83c2f · outbound

This paper cites Fcd- net: Learning to detect multiple types of homologous deepfake face images,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Fcd- net: Learning to detect multiple types of homologous deepfake face images,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.710339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3cec0118-e154-41ea-922a-b4b9d37fb28e · outbound

This paper cites F 2 trans: High- frequency fine-grained transformer for face forgery detection,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection F 2 trans: High- frequency fine-grained transformer for face forgery detection,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.696177Z

Source-reported events for the cited work

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Observation d96eaccb-7764-44e9-8aaf-34fde8b9ee96 · outbound

This paper cites Robust attentive deep neural network for detecting gan-generated faces,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Robust attentive deep neural network for detecting gan-generated faces,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.680916Z

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Observation 63896c14-5654-4a47-8b1c-6d9e70e83105 · outbound

This paper cites Pulseedit: Editing physiological signals in facial videos for privacy protection,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Pulseedit: Editing physiological signals in facial videos for privacy protection,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.664295Z

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Observation 5038d66e-d11e-4acc-9d2a-8f53fd4fa266 · outbound

This paper cites Detecting GAN-generated Imagery using Color Cues.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Detecting GAN-generated Imagery using Color Cues

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T04:45:38.936323Z

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Observation fbad5ce4-b469-49f9-88f4-a58ce72343f9 · outbound

This paper cites Exploiting visual artifacts to expose deepfakes and face manipulations,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Exploiting visual artifacts to expose deepfakes and face manipulations,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.648865Z

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Observation 6ea3cb15-421b-4efc-8374-4cd74d27a166 · outbound

This paper cites Identification of deep network generated images using disparities in color components,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Identification of deep network generated images using disparities in color components,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.633136Z

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Observation 54db40ef-05fc-4319-b22b-485a1bbdd5a9 · outbound

This paper cites Detecting and simulating artifacts in gan fake images,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Detecting and simulating artifacts in gan fake images,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.617387Z

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Observation f540a4c5-a781-46d6-8921-5e2abf1a0f44 · outbound

This paper cites Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.601944Z

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Observation da4548d4-cbfd-4c7a-a5f0-c777e8e97362 · outbound

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

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Cnn- generated images are surprisingly easy to spot... for now,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T04:45:38.957301Z

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Observation 0da6299f-1c2c-441a-8611-89fa4aaca628 · outbound

This paper cites Detecting cnn-generated facial images in real-world scenarios,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Detecting cnn-generated facial images in real-world scenarios,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.574521Z

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Observation 1d501a91-bb1e-422b-96d3-54c63ccd145c · outbound

This paper cites Global texture enhancement for fake face detection in the wild,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Global texture enhancement for fake face detection in the wild,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.558923Z

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Observation 12ce9b89-b0d7-46e8-87f5-d544d98f3c42 · outbound

This paper cites Representative forgery mining for fake face detection,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Representative forgery mining for fake face detection,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.544154Z

Source-reported events for the cited work

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Observation ee8bc802-e177-4690-984f-eca67c85a19a · outbound

This paper cites Multi- attentional deepfake detection,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Multi- attentional deepfake detection,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.529424Z

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Observation e3170591-4e88-4596-a682-c6fa43134f9f · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.514978Z

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Observation 1bbcd6ba-71a1-4fcd-a6a5-13a9fdae0b28 · outbound

This paper cites A survey on vision transformer,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection A survey on vision transformer,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-12T04:45:38.984077Z

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Observation 06353c1b-dc6b-409b-bf3a-133a536d5db5 · outbound

This paper cites Adversarial examples for generative models,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Adversarial examples for generative models,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.491963Z

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Observation c3767039-84c2-4e04-b58f-902f43f326b2 · outbound

This paper cites Deceiving image-to-image transla- tion networks for autonomous driving with adversarial perturbations,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Deceiving image-to-image transla- tion networks for autonomous driving with adversarial perturbations,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.476367Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 73900d07-e4a2-478d-9b72-ea0c66de2139 · outbound

This paper cites Adversar- ial robust safeguard for evading deep facial manipulation,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Adversar- ial robust safeguard for evading deep facial manipulation,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.460329Z

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Observation f45a8205-01cf-4652-b186-a1f26cb11d2e · outbound

This paper cites Information-containing adversarial perturbation for combating facial manipulation systems,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Information-containing adversarial perturbation for combating facial manipulation systems,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.445414Z

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Observation 71e4c43f-ee9a-41d3-ab9b-fcecac1d677b · outbound

This paper cites Df-rap: A robust adversarial perturbation for defending against deepfakes in real-world social network scenarios,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Df-rap: A robust adversarial perturbation for defending against deepfakes in real-world social network scenarios,

Reference 83

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Observation 100f207d-d1e8-466c-9cd0-631538a4e9d4 · outbound

This paper cites Cmua-watermark: A cross-model universal adversarial watermark for combating deepfakes,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Cmua-watermark: A cross-model universal adversarial watermark for combating deepfakes,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.420857Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 274763ad-d4cf-4e84-b543-cee0b3f52d2c · outbound

This paper cites Feature importance-aware transferable adversarial attacks,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Feature importance-aware transferable adversarial attacks,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.407028Z

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Observation 230cdcb3-87e5-4143-abfe-319b67c27e6d · outbound

This paper cites Improving transferable adversarial attack via feature-momentum,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Improving transferable adversarial attack via feature-momentum,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.393238Z

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Observation 5e2c884e-5099-4a97-a863-3e33dd1e75e0 · outbound

This paper cites Generaliz- ing adversarial explanations with grad-cam,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Generaliz- ing adversarial explanations with grad-cam,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.377107Z

Source-reported events for the cited work

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Observation 105b0520-82f0-4e46-a14c-705dc6a0968e · outbound

This paper cites Determining optical flow,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Determining optical flow,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.361306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9d37f6fc-efa1-4b30-aa13-d11dc1286691 · outbound

This paper cites Lucas-kanade 20 years on: A unifying framework,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Lucas-kanade 20 years on: A unifying framework,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.347202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8df4727b-a234-4f98-a2fc-6383b61ef705 · outbound

This paper cites Two-frame motion estimation based on polynomial expansion,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Two-frame motion estimation based on polynomial expansion,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.331816Z

Source-reported events for the cited work

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Observation 43eecf6f-da44-479a-a705-4635c3f32f61 · outbound

This paper cites Flownet: Learning optical flow with convolutional networks,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Flownet: Learning optical flow with convolutional networks,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.316630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 01ebe81e-dd07-4a5a-aa09-a965fd24c6ee · outbound

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

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Faceforensics++: Learning to detect manipulated facial images,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-12T04:45:39.048298Z

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Observation 8b38c8a5-fe4d-4f9d-9d18-177f67abb0a0 · outbound

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

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection The DeepFake Detection Challenge (DFDC) Dataset

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-12T04:45:39.052598Z

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Observation f3d10854-853f-4408-9fe1-80a40fa59475 · outbound

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

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection The Deepfake Detection Challenge (DFDC) Preview Dataset

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-12T04:45:39.057586Z

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Observation c576b1f6-1ca8-4d4f-b2f1-bc531d409e79 · outbound

This paper cites YOLOv5 github,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection YOLOv5 github,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.291699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 868abbf2-c81a-49fd-904b-bce7c59b6d57 · outbound

This paper cites Discrete cosine transform,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Discrete cosine transform,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.277150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4f53ff0d-99a8-43fa-931f-c81bc3e4d759 · outbound

This paper cites DeepFaceLab github,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection DeepFaceLab github,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.262728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4d195146-e149-45e0-a6a8-719eb4a7d803 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Distilling the Knowledge in a Neural Network

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-12T04:45:39.075155Z

Source-reported events for the cited work

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Observation a40d62df-11c5-4887-81e4-10af1623448c · outbound

This paper cites Real-time single image and video super- resolution using an efficient sub-pixel convolutional neural network,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Real-time single image and video super- resolution using an efficient sub-pixel convolutional neural network,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.247653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 28d3cec2-e470-4d43-b687-363158739b0f · outbound

This paper cites Mitigating adversarial effects through randomization,.

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection Mitigating adversarial effects through randomization,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:45:39.231999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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