Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization | Paper Citation Record

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This paper cites Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images

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This paper cites Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System

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This paper cites Cifake: Image classifica- tion and explainable identification of ai-generated synthetic images.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Cifake: Image classifica- tion and explainable identification of ai-generated synthetic images

Reference 4

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This paper cites Dark experience for general continual learning: a strong, simple baseline.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Dark experience for general continual learning: a strong, simple baseline

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This paper cites Harnessing the power of text-image contrastive models for automatic detection of on- line misinformation.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Harnessing the power of text-image contrastive models for automatic detection of on- line misinformation

Reference 6

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This paper cites Masked Conditional Diffusion Model for Enhancing Deepfake Detection.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Masked Conditional Diffusion Model for Enhancing Deepfake Detection

Reference 7

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This paper cites Fakecatcher: Detection of synthetic portrait videos using biological sig- nals.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Fakecatcher: Detection of synthetic portrait videos using biological sig- nals

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This paper cites Forensictrans- fer: Weakly-supervised domain adaptation for forgery detec- tion.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Forensictrans- fer: Weakly-supervised domain adaptation for forgery detec- tion

Reference 9

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This paper cites On the detection of digital face manipulation.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization On the detection of digital face manipulation

Reference 10

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

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

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This paper cites Attacking identity semantics in deepfakes via deep feature fusion.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Attacking identity semantics in deepfakes via deep feature fusion

Reference 12

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This paper cites Synthesizing black-box anti-forensics deepfakes with high visual quality.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Synthesizing black-box anti-forensics deepfakes with high visual quality

Reference 13

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This paper cites Detection, Attribution and Localization of GAN Generated Images.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Detection, Attribution and Localization of GAN Generated Images

Reference 14

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This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

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This paper cites Studies of mind and brain: Neural principles of learning, perception, development, cognition, and motor control.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Studies of mind and brain: Neural principles of learning, perception, development, cognition, and motor control

Reference 16

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This paper cites Deepfake detection by analyzing convolutional traces.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Deepfake detection by analyzing convolutional traces

Reference 17

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

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Robust attentive deep neural network for detecting gan- generated faces

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This paper cites Deep fake image detection based on pairwise learning.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Deep fake image detection based on pairwise learning

Reference 19

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This paper cites Improving the generalization ability of deepfake detection via disentangled representation learning.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Improving the generalization ability of deepfake detection via disentangled representation learning

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This paper cites De- tecting cnn-generated facial images in real-world scenarios.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization De- tecting cnn-generated facial images in real-world scenarios

Reference 21

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Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Unresolved cited work

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Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Unresolved cited work

Reference 23

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Observation b6db3884-a9f4-4e24-8d5b-32caf1b85a25 · outbound

This paper cites Overcoming catastrophic forgetting in neu- ral networks.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Overcoming catastrophic forgetting in neu- ral networks

Reference 24

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This paper cites DeepFakes: a New Threat to Face Recognition? Assessment and Detection.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization DeepFakes: a New Threat to Face Recognition? Assessment and Detection

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This paper cites Towards generalized deepfake detection with continual learning on limited new data.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Towards generalized deepfake detection with continual learning on limited new data

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This paper cites Faster than lies: Real-time deepfake detection using binary neural networks.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Faster than lies: Real-time deepfake detection using binary neural networks

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This paper cites How Generalizable are Deepfake Image Detectors? An Empirical Study.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization How Generalizable are Deepfake Image Detectors? An Empirical Study

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This paper cites A continual deepfake detection benchmark: Dataset, meth- ods, and essentials.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization A continual deepfake detection benchmark: Dataset, meth- ods, and essentials

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This paper cites In ictu oculi: Exposing ai created fake videos by detecting eye blinking.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization In ictu oculi: Exposing ai created fake videos by detecting eye blinking

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This paper cites Celeb-df: A large-scale challenging dataset for deep- fake forensics.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Celeb-df: A large-scale challenging dataset for deep- fake forensics

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This paper cites Exploring disentangled content information for face forgery detection.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Exploring disentangled content information for face forgery detection

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This paper cites Detecting Multimedia Generated by Large AI Models: A Survey.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Detecting Multimedia Generated by Large AI Models: A Survey

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This paper cites Preserving fairness generalization in deepfake detec- tion.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Preserving fairness generalization in deepfake detec- tion

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Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Global tex- ture enhancement for fake face detection in the wild

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Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Gradient episodic memory for continual learning

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This paper cites Detecting images generated by deep diffusion models using their lo- cal intrinsic dimensionality.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Detecting images generated by deep diffusion models using their lo- cal intrinsic dimensionality

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Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Incremental learning for the detection and clas- sification of gan-generated images

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This paper cites Deepfakes genera- tion and detection: State-of-the-art, open challenges, coun- termeasures, and way forward.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Deepfakes genera- tion and detection: State-of-the-art, open challenges, coun- termeasures, and way forward

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This paper cites GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection

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Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Multi-task learning for detecting and segment- ing manipulated facial images and videos

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This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

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Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Dfil: Deepfake incremental learning by exploiting domain-invariant forgery clues

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This paper cites Learning a deep dual-level network for robust deepfake detection.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Learning a deep dual-level network for robust deepfake detection

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Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Mobilenetv4: universal models for the mobile ecosystem

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Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Hierarchical Text-Conditional Image Generation with CLIP Latents

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Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization ImageNet-21K Pretraining for the Masses

Reference 47

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Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Experience replay for continual learning

Reference 48

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This paper cites High-resolution image synthesis with latent diffusion models.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization High-resolution image synthesis with latent diffusion models

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This paper cites Faceforen- sics++: Learning to detect manipulated facial images.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Faceforen- sics++: Learning to detect manipulated facial images

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This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Photorealistic text-to-image diffusion models with deep language understanding

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This paper cites Error sensitivity modulation based experience replay: Mitigating abrupt representation drift in continual learning.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Error sensitivity modulation based experience replay: Mitigating abrupt representation drift in continual learning

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:36.542597Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a18fa8b-8382-474f-9777-dd54caaa9939 · outbound

This paper cites Con- tinuous fake media detection: Adapting deepfake detectors to new generative techniques.Comput.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Con- tinuous fake media detection: Adapting deepfake detectors to new generative techniques.Comput

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:36.399200Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b2f01995-ce8f-4266-a2bc-171e9bf68be2 · outbound

This paper cites An examination of fairness of ai models for deepfake detection.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization An examination of fairness of ai models for deepfake detection

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:36.224251Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4fdce8f3-4a48-4974-a0d5-f1b04e001aa7 · outbound

This paper cites En- hancing generalization ability in deepfake detection via con- tinual learning.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization En- hancing generalization ability in deepfake detection via con- tinual learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:36.045485Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a337adb3-2a39-42bc-a370-f08f22dff0bf · outbound

This paper cites Three scenarios for continual learning.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Three scenarios for continual learning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T14:12:31.009858Z

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Observation f56a4823-4d5e-4d28-ae6d-1ea7758719ba · outbound

This paper cites Fastvit: A fast hybrid vision transformer using structural reparameterization.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Fastvit: A fast hybrid vision transformer using structural reparameterization

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:35.898760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 898775ad-5d33-4de2-b7ce-3a725da5ec28 · outbound

This paper cites Cnn-generated images are sur- prisingly easy to spot.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Cnn-generated images are sur- prisingly easy to spot

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:35.763339Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 305ea4b2-6abb-4bc6-9bc5-47c78a85d9d4 · outbound

This paper cites Deepfake detectors and datasets exhibit racial and gender bias, usc study shows.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Deepfake detectors and datasets exhibit racial and gender bias, usc study shows

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:35.575903Z

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Observation babfd60e-8e06-42a9-ba9a-a2eebe1dfd05 · outbound

This paper cites Con- vnext v2: Co-designing and scaling convnets with masked autoencoders.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Con- vnext v2: Co-designing and scaling convnets with masked autoencoders

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:35.257418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 46ca9dcc-d945-46e4-9d1c-d074de562001 · outbound

This paper cites Analyzing Fairness in Deepfake Detection With Massively Annotated Databases.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Analyzing Fairness in Deepfake Detection With Massively Annotated Databases

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T14:12:31.623379Z

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Observation 87bb33af-79b3-4fc7-8040-e914a09d8a50 · outbound

This paper cites Yan et al.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Yan et al

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:35.083867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8615148c-2404-44fc-ab30-611c30dc34b7 · outbound

This paper cites Ucf: Uncovering common features for generalizable deep- fake detection.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Ucf: Uncovering common features for generalizable deep- fake detection

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:34.962084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea7c3680-82eb-4d01-b48e-372642163c85 · outbound

This paper cites Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T14:12:32.011950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c862119-69f1-4eef-abdc-db1d2985d5d5 · outbound

This paper cites CrossDF: Improving Cross-Domain Deepfake Detection with Deep Information Decomposition.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization CrossDF: Improving Cross-Domain Deepfake Detection with Deep Information Decomposition

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:12:33.337559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 10557148-736a-41b6-aa0a-ac9e6c774970 · outbound

This paper cites Exposing deep fakes using inconsistent head poses.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Exposing deep fakes using inconsistent head poses

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:34.765690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51b69acc-9a1d-46d9-ba42-b848babf0d56 · outbound

This paper cites Towards understanding the generalization of deepfake detectors from a game-theoretical view.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Towards understanding the generalization of deepfake detectors from a game-theoretical view

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:34.594145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68a815cf-a726-4810-a0b6-54b7845a1f83 · outbound

This paper cites Face anti-spoofing via disentangled represen- tation learning.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Face anti-spoofing via disentangled represen- tation learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:34.449101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9bb6214b-8c08-4965-916c-7d35b9f882a9 · outbound

This paper cites X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:12:33.140915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d8621a67-31d3-48d8-9a93-a8f2cde6482c · outbound

This paper cites Few-shot learning for misinformation detection based on contrastive models.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Few-shot learning for misinformation detection based on contrastive models

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:34.290802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e63e9d9-5872-4137-aa3f-e08611ca5edc · outbound

This paper cites Wilddeepfake: A challenging real-world dataset for deepfake detection.

Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization Wilddeepfake: A challenging real-world dataset for deepfake detection

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:12:34.105465Z

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