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Paper Citation Record · LEDGER

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems

As of 21 August 2026, this Paper Citation Record lists 100 of 279 outbound references and 3 inbound Pith citation observations for arXiv:2507.21157.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.21157 v1

Coverage vector

measured 100 of 279 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:34:10.876535Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:19:24.989981Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T16:33:34.208490Z

Reference resolution

100 of 279 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved91
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dbfae459-5b1e-4063-9f67-56f417b8e4bf · outbound

This paper cites A survey of generative artificial intelligence techniques,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems A survey of generative artificial intelligence techniques,

Reference 1

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Observation ed1c77d5-8447-4ff0-89e4-1b56446d4bf8 · outbound

This paper cites A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Reference 2

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Observation 48b34426-499e-42dd-b167-9cf2e781a0ed · outbound

This paper cites Leveraging generative artificial intelligence based on large language models for collaborative learning,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Leveraging generative artificial intelligence based on large language models for collaborative learning,

Reference 3

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Observation 8dffbdd4-abf2-48d9-bddf-791c17969d9e · outbound

This paper cites Collaboration with generative artificial intelligence: An exploratory study based on learning analytics,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Collaboration with generative artificial intelligence: An exploratory study based on learning analytics,

Reference 4

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Observation 6c3a6ab8-53de-48d8-a17c-fa5e75c82df7 · outbound

This paper cites Constructing dreams using generative ai,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Constructing dreams using generative ai,

Reference 5

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Observation 2cf96236-a2d0-4cf9-ab05-fe844e6c8801 · outbound

This paper cites Generative ai: A systematic review using topic modelling techniques,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Generative ai: A systematic review using topic modelling techniques,

Reference 6

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Observation d2bcbd1d-0e6c-43fa-9825-15534fc3a4ce · outbound

This paper cites Research on deepfake technology and its application,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Research on deepfake technology and its application,

Reference 7

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Observation 69b9a3cb-6d2f-41cc-9b89-de7350237108 · outbound

This paper cites The social impact of generative ai: An analysis on chatgpt,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems The social impact of generative ai: An analysis on chatgpt,

Reference 8

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Observation 99cea363-4c97-462a-9e88-886d5555ff6d · outbound

This paper cites Artificial intelligence in science and society: the vision of usern,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Artificial intelligence in science and society: the vision of usern,

Reference 9

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Observation bcfb82bc-4a0e-4aa9-8718-092598f42013 · outbound

This paper cites Generative ai effects on school systems : An overview of generative ai with focus on chatgpt, what it is, what it isn’t and how it works.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Generative ai effects on school systems : An overview of generative ai with focus on chatgpt, what it is, what it isn’t and how it works

Reference 10

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Observation c3d61be4-cf06-4566-ad1d-11a664d9928d · outbound

This paper cites Ai hype as a cyber security risk: the moral responsibility of implementing generative ai in business,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Ai hype as a cyber security risk: the moral responsibility of implementing generative ai in business,

Reference 11

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Observation c0e24e6d-1190-4899-a6cd-904ebd83518e · outbound

This paper cites Generative ai in medical practice: In-depth exploration of privacy and security challenges,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Generative ai in medical practice: In-depth exploration of privacy and security challenges,

Reference 12

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Observation 49e233b2-9048-410a-8599-8648f47ff551 · outbound

This paper cites Envisioning the Applications and Implications of Generative AI for News Media.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Envisioning the Applications and Implications of Generative AI for News Media

Reference 13

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Observation c63abac0-afec-4b12-8905-80540ea5bc15 · outbound

This paper cites Critical exploratory investigation of ai consumption, ai perception and ai literacy requirements,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Critical exploratory investigation of ai consumption, ai perception and ai literacy requirements,

Reference 14

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Observation 183656c9-cce1-495c-95e3-7b91b12953ba · outbound

This paper cites Dimensions AI - Research insights at your fingertips,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Dimensions AI - Research insights at your fingertips,

Reference 15

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Observation eb317aa3-6cd1-4129-a617-1c49ae00c8de · outbound

This paper cites Beyond “bigger, faster, better.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Beyond “bigger, faster, better

Reference 16

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Observation f74cb692-449d-4486-a236-2a868da8e722 · outbound

This paper cites Generative adversarial nets,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Generative adversarial nets,

Reference 17

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Observation 5b260f25-b66f-47d4-8676-20d6f57365d6 · outbound

This paper cites Denoising diffusion probabilistic models,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Denoising diffusion probabilistic models,

Reference 18

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Observation 5cb9d660-65e1-46c4-9d75-ed812c7250a4 · outbound

This paper cites Variational autoencoder for deep learning of images, labels and captions,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Variational autoencoder for deep learning of images, labels and captions,

Reference 19

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Observation bd62f7a6-e7ff-40d7-a688-5c9d628263cc · outbound

This paper cites Text-image guided diffusion model for generating deepfake celebrity interactions,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Text-image guided diffusion model for generating deepfake celebrity interactions,

Reference 20

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Observation 00c64747-e560-4441-8f5c-f269a645fe7d · outbound

This paper cites Conditional Generative Adversarial Nets.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Conditional Generative Adversarial Nets

Reference 21

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Observation cd45e230-01fe-4495-937c-732402c00d91 · outbound

This paper cites Image de-raining using a conditional generative adversarial network,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Image de-raining using a conditional generative adversarial network,

Reference 22

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Observation fe7cfac1-a9b0-4600-a94a-0176deeb3e09 · outbound

This paper cites Generative adversarial text to image synthesis,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Generative adversarial text to image synthesis,

Reference 23

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Observation 2266b1ea-0b9b-4829-b375-0b9c6069dc3f · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Adding conditional control to text-to-image diffusion models,

Reference 24

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Observation 288d9ae6-155a-4464-955f-f7f5d4adfed5 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language under- standing,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Photorealistic text-to-image diffusion models with deep language under- standing,

Reference 25

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Observation 8af75b57-2d34-46fc-9308-7a0b4d983f94 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems DreamFusion: Text-to-3D using 2D Diffusion

Reference 26

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Observation eb1f0315-49bf-4810-b4ff-4195a773b720 · outbound

This paper cites Zero-Shot Text-to-Image Generation.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Zero-Shot Text-to-Image Generation

Reference 27

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Observation d5cedbf5-b655-4af3-9d3e-4143b804a87d · outbound

This paper cites Video Diffusion Models.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Video Diffusion Models

Reference 28

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Observation 8a8a8be2-bac5-4593-8825-5cbc2c8161f1 · outbound

This paper cites SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework

Reference 29

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Observation 28553ee6-bf52-43e4-993e-3d097316b525 · outbound

This paper cites Deepfake video detection: challenges and opportunities,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Deepfake video detection: challenges and opportunities,

Reference 30

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Observation a490d3b6-4253-4f40-ade4-a4b8138f0248 · outbound

This paper cites Audio Deepfake Detection: A Survey.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Audio Deepfake Detection: A Survey

Reference 31

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Observation c537f376-4a46-4a22-bac5-a57d95c86fd2 · outbound

This paper cites A survey on speech deepfake detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems A survey on speech deepfake detection,

Reference 32

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Observation e0cf8b82-6d53-4e3c-91c8-479649702144 · outbound

This paper cites Fake news detection using deep learning: A systematic literature review,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Fake news detection using deep learning: A systematic literature review,

Reference 33

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Observation 374a265c-0234-4319-a035-a9e4db7d8f03 · outbound

This paper cites Advances in deepfake detection algorithms: Exploring fusion techniques in single and multi-modal approach,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Advances in deepfake detection algorithms: Exploring fusion techniques in single and multi-modal approach,

Reference 34

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Observation 63bb2592-5ef9-4abf-92c1-c7c0ecad0edd · outbound

This paper cites Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Reference 35

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Observation 436f64eb-c32f-4f4b-ad28-71035726af9e · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems WaveNet: A Generative Model for Raw Audio

Reference 36

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Observation 9d9b980c-5790-46dd-815d-6d6922fece28 · outbound

This paper cites Tacotron: Towards end-to-end speech synthesis,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Tacotron: Towards end-to-end speech synthesis,

Reference 37

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Observation a0570ac8-8d00-4d94-8a5c-0733884816c7 · outbound

This paper cites Language models are unsupervised multitask learners,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Language models are unsupervised multitask learners,

Reference 38

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Observation 87582b69-a210-4bcf-afa0-1830096d3c0d · outbound

This paper cites The emergence of deepfake technology: A review,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems The emergence of deepfake technology: A review,

Reference 39

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Observation a1e04b85-062d-404c-becf-22859d4b29fc · outbound

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

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Cnn-generated images are surprisingly easy to spot... for now,

Reference 40

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Observation d0f2acaf-872e-4122-97de-392a24706165 · outbound

This paper cites Multi-instrument Comparative Study of Temperature, Number Density, and Emission Measure during the Precursor Phase of a Solar Flare.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Multi-instrument Comparative Study of Temperature, Number Density, and Emission Measure during the Precursor Phase of a Solar Flare

Reference 41

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Observation 86dc403a-fdf0-41f7-845c-6334c1afb413 · outbound

This paper cites Adversarial deepfakes: Evaluating vulnerability of deepfake detectors to adversarial examples,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Adversarial deepfakes: Evaluating vulnerability of deepfake detectors to adversarial examples,

Reference 42

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Observation 7a198919-8aaa-4ecf-9b8b-3780dd0ce200 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Lora: Low-rank adaptation of large language models

Reference 43

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Observation e458bef4-b27c-4b60-8e1c-d2642fe4e126 · outbound

This paper cites Deepfakes and beyond: A survey of face manipulation and fake detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Deepfakes and beyond: A survey of face manipulation and fake detection,

Reference 44

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Observation ebd7b276-d56b-460e-a9f7-9648c3c6c587 · outbound

This paper cites Leveraging frequency analysis for deep fake image recognition,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Leveraging frequency analysis for deep fake image recognition,

Reference 45

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Observation 8ec61abe-c5a4-42dd-8ea4-43be1f887b26 · outbound

This paper cites Recurrent convolutional strategies for face manipulation detection in videos,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Recurrent convolutional strategies for face manipulation detection in videos,

Reference 46

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Observation f20defc9-7f84-49c9-96b3-daa94059a287 · outbound

This paper cites Bot or human? detection of deepfake text with semantic, emoji, sentiment and linguistic features,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Bot or human? detection of deepfake text with semantic, emoji, sentiment and linguistic features,

Reference 47

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Observation 197de8b1-4eee-4afd-9bf6-381cca4bd1a1 · outbound

This paper cites Fakecatcher: Detection of synthetic portrait videos using biological signals,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Fakecatcher: Detection of synthetic portrait videos using biological signals,

Reference 48

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Observation 3b907c5a-3181-4081-8971-7161ddbe8698 · outbound

This paper cites Detecting deep-fake videos from phoneme-viseme mis- matches,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Detecting deep-fake videos from phoneme-viseme mis- matches,

Reference 49

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Observation 861b6648-48a1-4f30-9b6b-fbe7d14ee96c · outbound

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

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Frequency-aware discriminative feature learning supervised by single-center loss for face forgery detection,

Reference 50

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Observation 9c35947e-ccdb-428f-940d-d43406cc640f · outbound

This paper cites Explainable deep-fake detection using visual interpretability methods,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Explainable deep-fake detection using visual interpretability methods,

Reference 51

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Observation 5e9146cf-a3fe-4ff7-9583-ae6f30c03288 · outbound

This paper cites Fakespotter: A simple yet robust baseline for spotting ai-synthesized fake faces,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Fakespotter: A simple yet robust baseline for spotting ai-synthesized fake faces,

Reference 52

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Observation f759d3d7-570e-48f0-b687-4e5b58e3ca2c · outbound

This paper cites Learning on gradients: Generalized artifacts representation for gan-generated images detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Learning on gradients: Generalized artifacts representation for gan-generated images detection,

Reference 53

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Observation cb288cfc-f0f2-4ce6-9599-cd8fa2d40ccd · outbound

This paper cites Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning

Reference 54

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Observation 1d83fc9e-7171-4d21-965f-8b734b751721 · outbound

This paper cites Frepgan: Robust deepfake detection using frequency- level perturbations,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Frepgan: Robust deepfake detection using frequency- level perturbations,

Reference 55

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Observation 6a58315b-af7b-4660-95e4-e666c0061266 · outbound

This paper cites Frequency masking for universal deepfake detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Frequency masking for universal deepfake detection,

Reference 56

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Observation 441adb5a-3e24-4628-8114-30c49020558a · outbound

This paper cites On the exploitation of dct-traces in the generative-ai domain,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems On the exploitation of dct-traces in the generative-ai domain,

Reference 57

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Observation 088247ba-95f7-46ec-b800-8cfb74927bd4 · outbound

This paper cites Frequency-aware attentional feature fusion for deepfake detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Frequency-aware attentional feature fusion for deepfake detection,

Reference 58

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Observation 0022b2a6-af95-45bb-af25-c812f31d9d41 · outbound

This paper cites Detection of diffusion model-generated faces by assessing smoothness and noise tolerance,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Detection of diffusion model-generated faces by assessing smoothness and noise tolerance,

Reference 59

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Observation a428da86-a670-4f79-9cd9-751aa4957ebc · outbound

This paper cites Towards the detection of ai-synthesized human face images,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Towards the detection of ai-synthesized human face images,

Reference 60

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Observation aeacfe4a-eb80-4b4a-a81f-e4b9ce2e94b2 · outbound

This paper cites Wavelet-driven generalizable framework for deepfake face forgery detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Wavelet-driven generalizable framework for deepfake face forgery detection,

Reference 62

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Observation 90918ca3-91e7-493b-a1ce-6636b8b899ce · outbound

This paper cites Towards universal fake image detectors that generalize across generative models,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Towards universal fake image detectors that generalize across generative models,

Reference 63

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Observation 5b408400-69af-427d-9dc4-f4a8b818a224 · outbound

This paper cites Towards extensible detection of ai-generated images via content-agnostic adapter-based category-aware incremental learning,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Towards extensible detection of ai-generated images via content-agnostic adapter-based category-aware incremental learning,

Reference 64

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Observation 75131a46-9d7d-4f06-93b7-a4577ef802ce · outbound

This paper cites Forgery-aware adaptive transformer for generalizable synthetic image detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Forgery-aware adaptive transformer for generalizable synthetic image detection,

Reference 65

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Observation 01c73590-9098-4ee4-87ad-95b6045ea522 · outbound

This paper cites Fully AI-Generated Image Detection: Definition, Recent Advances and Challenges.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Fully AI-Generated Image Detection: Definition, Recent Advances and Challenges

Reference 66

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Observation a6a73a53-9c33-4b9e-81f3-8d89655e8064 · outbound

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

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Faster than lies: Real- time deepfake detection using binary neural networks,

Reference 67

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Observation 6f8b334f-f228-45e2-b40a-8c14c1e3568d · outbound

This paper cites DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection

Reference 68

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Observation c910b192-cf94-4baa-8974-39fdffbbcc04 · outbound

This paper cites Sepmark: Deep separable watermarking for unified source tracing and deepfake detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Sepmark: Deep separable watermarking for unified source tracing and deepfake detection,

Reference 69

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Observation c581ecba-ec8e-4c85-b022-d5eaf452708c · outbound

This paper cites Ai-assisted deepfake detection using adaptive blind image watermarking,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Ai-assisted deepfake detection using adaptive blind image watermarking,

Reference 70

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Observation d9c67b9e-7911-4030-8858-d17bc8b453e1 · outbound

This paper cites {PTW}: Pivotal tuning watermarking for {Pre-Trained} image generators,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems {PTW}: Pivotal tuning watermarking for {Pre-Trained} image generators,

Reference 71

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Observation 07142b66-dd47-43df-b3ce-1ac2e6f2e623 · outbound

This paper cites Lampmark: Proactive deepfake detection via training- free landmark perceptual watermarks,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Lampmark: Proactive deepfake detection via training- free landmark perceptual watermarks,

Reference 72

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Observation 42759caf-129b-43f8-a050-6f913da9909f · outbound

This paper cites Scalable universal adversarial watermark defending against facial forgery,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Scalable universal adversarial watermark defending against facial forgery,

Reference 73

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Observation e611fd61-29a6-4b7d-b4ec-6375636f18c0 · outbound

This paper cites An adversarial attack approach for explainable ai evaluation on deepfake detection models,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems An adversarial attack approach for explainable ai evaluation on deepfake detection models,

Reference 74

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Observation a2e930ae-031a-47cd-a52b-5a64b890f80e · outbound

This paper cites DeepFeatureX Net: Deep Features eXtractors based Network for discriminating synthetic from real images.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems DeepFeatureX Net: Deep Features eXtractors based Network for discriminating synthetic from real images

Reference 75

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

source=pdf_text observed=2026-08-06T14:34:10.766483Z digest=sha256:12040581f990384ae5ad678304fa7389884f2f999364dc0209ad94694fa0eb04

Observation 5f17c013-7f1f-4a63-ab1b-2671aa05d260 · outbound

This paper cites Interpretable-through-prototypes deepfake detection for diffusion models,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Interpretable-through-prototypes deepfake detection for diffusion models,

Reference 76

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Observation c31dd7fe-a1fe-4a01-ac0b-16df9d6cfcc8 · outbound

This paper cites Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection

Reference 77

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source=pdf_text observed=2026-08-06T14:34:10.778078Z digest=sha256:0b07452b9f24b4822f46a598ccfe37bd711ea48e82bf9504ed175bf449703f5e

Observation fd11866a-e477-4dec-b8dc-77c5552bea70 · outbound

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

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection,

Reference 78

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Observation 5c39a4ea-f18c-46f4-9a58-08f0cfff5774 · outbound

This paper cites Dire for diffusion-generated image detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Dire for diffusion-generated image detection,

Reference 79

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Observation 8cc76e91-08fa-4308-993f-6f8727fe2877 · outbound

This paper cites Mastering deepfake detection: A cutting-edge approach to distinguish gan and diffusion-model images,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Mastering deepfake detection: A cutting-edge approach to distinguish gan and diffusion-model images,

Reference 80

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Observation a007d427-12cb-4213-aa26-8102cf1609f8 · outbound

This paper cites Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization

Reference 81

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Observation 6bae37e6-a787-439e-8b9b-19f4896d4dad · outbound

This paper cites An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape

Reference 82

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Source-reported events for the cited work

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

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Observation c6043e8c-ed00-40fd-bc2a-b0587d55c8f1 · outbound

This paper cites Masked conditional diffusion model for enhancing deepfake detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Masked conditional diffusion model for enhancing deepfake detection,

Reference 83

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source=pdf_text observed=2026-08-06T14:34:10.800898Z digest=sha256:2bf9fb2241c768f061d0574e60ae3322f98a902eaca03ea80678d7026d37da01

Observation 06c86a39-5894-436e-8941-c7d063e3f0cc · outbound

This paper cites Optimized frequency collaborative strategy drives ai image detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Optimized frequency collaborative strategy drives ai image detection,

Reference 84

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Observation 249596c6-99ba-4699-969d-2afddc5efc6c · outbound

This paper cites Frequency masking for universal deepfake detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Frequency masking for universal deepfake detection,

Reference 85

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source=pdf_text observed=2026-08-06T14:34:10.808092Z digest=sha256:84f33b085b188a2f5de56ca2d1683f8772bd2373d1006301218dbd36ada0c8dc

Observation 891bf7f3-74a6-4185-8042-b6229e4723e5 · outbound

This paper cites On the Exploitation of DCT-Traces in the Generative-AI Domain.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems On the Exploitation of DCT-Traces in the Generative-AI Domain

Reference 86

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T14:34:10.815509Z digest=sha256:ca8e185155e79809cd3d0e04cc75fab4fc2e8e1fd4357a615ebaf41ee75c7bdf

Observation 0951d8d1-d1d1-4166-a2ce-c7004f30af95 · outbound

This paper cites Towards the Detection of AI-Synthesized Human Face Images.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Towards the Detection of AI-Synthesized Human Face Images

Reference 87

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T14:34:10.819270Z digest=sha256:071444beb55d2a3270e7a572fcea38100e2692931a35def19ea1845382f88450

Observation a193a44d-4953-412e-933b-598e9177879d · outbound

This paper cites Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection

Reference 88

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

source=pdf_text observed=2026-08-06T14:34:10.826674Z digest=sha256:cd30acddb89884386eded8a2f191eb50d00391467b29023ed4b1ed16f2d663c5

Observation 9862c809-2836-4fb1-a149-6a1eb5084268 · outbound

This paper cites Detection of diffusion model-generated faces by assessing smoothness and noise tolerance,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Detection of diffusion model-generated faces by assessing smoothness and noise tolerance,

Reference 89

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Observation 7ec2d8ae-ca84-47f4-8f9f-f52dfe9db33a · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID:267657939.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Available: https://api.semanticscholar.org/CorpusID:267657939

Reference 90

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Observation 4ab73ae0-ff6d-458f-81c6-d572acd19e25 · outbound

This paper cites Herd Mentality in Augmentation -- Not a Good Idea! A Robust Multi-stage Approach towards Deepfake Detection.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Herd Mentality in Augmentation -- Not a Good Idea! A Robust Multi-stage Approach towards Deepfake Detection

Reference 91

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

source=pdf_text observed=2026-08-06T14:34:10.837197Z digest=sha256:54ae85fdb6611f37b34782b6dbdbf599e13561ee033752fb9a1c3103089e6a6c

Observation a0a15d6e-94ab-4e3d-b605-21a00422e8e9 · outbound

This paper cites Face forgery detection by 3d decomposition and composition search,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Face forgery detection by 3d decomposition and composition search,

Reference 92

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source=pdf_text observed=2026-08-06T14:34:10.840851Z digest=sha256:103abcd763741eaf16e0ab2a4e520ef2e5a927effd87be30f078033373c7baff

Observation 03c46a5a-65c9-423a-89ce-e0a10f5f5b5a · outbound

This paper cites Breaking semantic artifacts for generalized ai-generated image detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Breaking semantic artifacts for generalized ai-generated image detection,

Reference 93

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Observation 474624f2-ee01-45c9-b329-05fa1aee672f · outbound

This paper cites Preserving fairness generalization in deepfake detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Preserving fairness generalization in deepfake detection,

Reference 94

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Observation 0b1890dd-e936-4849-bcbc-19344f8fdd07 · outbound

This paper cites Using graph neural networks to improve generalization capability of the models for deepfake detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Using graph neural networks to improve generalization capability of the models for deepfake detection,

Reference 95

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Observation b44d2cf1-1072-4496-be4b-ade0f928d81f · outbound

This paper cites Rlgc: Reconstruction learning fusing gradient and content features for efficient deepfake detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Rlgc: Reconstruction learning fusing gradient and content features for efficient deepfake detection,

Reference 96

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source=pdf_text observed=2026-08-06T14:34:10.844374Z digest=sha256:8d1412f0f0b47f7b8b2b8a0e633786a8a88f861af6412f41b3896ddf888c7e16

Observation 88ccf2c5-aa65-48ec-8234-732f6e6fe2de · outbound

This paper cites Detecting and recovering sequential deepfake manipulation,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Detecting and recovering sequential deepfake manipulation,

Reference 97

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Observation b4b9fce0-926d-4ff6-b4bb-33d3de745378 · outbound

This paper cites Samif: Adapting segment anything model for image inpainting forensics,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Samif: Adapting segment anything model for image inpainting forensics,

Reference 98

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Observation df512641-e935-4077-a041-8856f78a63fa · outbound

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

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Laa-net: Localized artifact attention network for quality-agnostic and generalizable deepfake detection,

Reference 99

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Observation 09db76b4-2a95-489d-b288-cb54f42b341a · outbound

This paper cites Temporal diversified self-contrastive learning for generalized face forgery detection,.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems Temporal diversified self-contrastive learning for generalized face forgery detection,

Reference 100

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Observation c6929256-a144-4adf-9d07-a8539d2b3666 · outbound

This paper cites A Quality-Centric Framework for Generic Deepfake Detection.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems A Quality-Centric Framework for Generic Deepfake Detection

Reference 101

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Pith citing papers

Observation 87c40f27-d1c5-4254-8669-53653d0de7d1 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems

Reference 161

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arxiv_id, observed 2026-05-17T00:31:24.700821Z

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

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Observation 165e833e-a61a-43b3-9cdf-e687bf072c84 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems

Reference 161

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Observation d6c01a62-a140-4b12-9fc5-c23207b9b464 · inbound

STRIKE: A Structured Taxonomy of Cybercrime for Risk, Impact, Knowledge, and Evolution cites this paper.

STRIKE: A Structured Taxonomy of Cybercrime for Risk, Impact, Knowledge, and Evolution Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems

Reference 64

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arxiv_id, observed 2026-05-20T16:33:34.210870Z

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