Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:34:10.876535Z
Paper Citation Record · LEDGER
As of 7 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:34:10.876535Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T18:19:24.989981Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T16:33:34.208490Z
100 of 279 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation dbfae459-5b1e-4063-9f67-56f417b8e4bf · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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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
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
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
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
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
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
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
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
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
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
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
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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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
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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Observation 5f17c013-7f1f-4a63-ab1b-2671aa05d260 · outbound
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
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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Observation fd11866a-e477-4dec-b8dc-77c5552bea70 · outbound
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
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
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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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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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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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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Reference 84
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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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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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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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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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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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Reference 90
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Reference 91
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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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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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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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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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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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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
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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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
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
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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Observation 87c40f27-d1c5-4254-8669-53653d0de7d1 · inbound
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 165e833e-a61a-43b3-9cdf-e687bf072c84 · inbound
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 Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems
Reference 64
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