Deepfakes and Synthetic Media: Generation, Detection, and Governance

arXiv:2609.25017 · cs.CV · Submitted 2026-08-07 · Read on arXiv

cs.CV

Submitted: 2026-08-07

Updated: 2026-08-07

Terminology

• Provenance — 33× in this paper · explained in 4 episodes
• Verification — 31× in this paper · explained in 2 episodes
• Benchmark — 27× in this paper · explained in 2 episodes
• Trace — 19× in this paper · explained in 2 episodes
• Consistency — 17× in this paper · explained in 3 episodes
• Robustness — 16× in this paper · explained in 5 episodes
• Accountability — 12× in this paper · explained in 2 episodes
• Transformer — 12× in this paper · explained in 2 episodes
• Generative Model — 11× in this paper · explained in 2 episodes
• Generative Models — 10× in this paper · explained in 2 episodes
• Diffusion Model — 9× in this paper · explained in 8 episodes
• Diffusion Models — 9× in this paper · explained in 6 episodes
• Generalization — 9× in this paper · explained in 13 episodes
• Conference on Computer Vision and Pattern Recognition — 8× in this paper
• Fidelity — 8× in this paper · explained in 2 episodes
• Calibration — 6× in this paper · explained in 7 episodes
• National Institute of Standards and Technology — 6× in this paper
• AUC — 5× in this paper · explained in 2 episodes
• Advanced Television Systems Committee — 5× in this paper
• Benchmarking — 5× in this paper · explained in 3 episodes
• Generative Adversarial Network — 5× in this paper
• AUROC — 4× in this paper · explained in 2 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Latent Diffusion Model — 4× in this paper · explained in 2 episodes
• Latent Diffusion Models — 4× in this paper · explained in 2 episodes
• Temporal consistency — 4× in this paper · explained in 2 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Content Authenticity Initiative — 3× in this paper
• General Data Protection Regulation — 3× in this paper
• Generative AI — 3× in this paper · explained in 2 episodes
• International Electrotechnical Commission — 3× in this paper
• Personalization — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Area Under the Receiver Operating Characteristic Curve — 2× in this paper
• CVF International Conference on Computer Vision — 2× in this paper
• Domain Shift — 2× in this paper · explained in 4 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Equal Error Rate — 2× in this paper
• Failure Modes — 2× in this paper · explained in 3 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• International Workshop on Information Forensics and Security — 2× in this paper
• Latent Representation — 2× in this paper · explained in 2 episodes
• Latent Representations — 2× in this paper · explained in 3 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Abundance — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Adversarial Robustness — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Frequency-Domain Analysis — 1× in this paper · explained in 2 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• IEEE Winter Applications of Computer Vision Workshops — 1× in this paper
• Interpretability — 1× in this paper · explained in 15 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Generative Adversarial Networks
• AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
• HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
• WaveNet: A Generative Model for Raw Audio
• Video Diffusion Models
• Make-A-Video: Text-to-Video Generation without Text-Video Data
• Towards High Fidelity Face Swapping: A Comprehensive Survey and New Benchmark
• NBAvatar: Neural Billboards Avatars with Realistic Hand-Face Interaction
• Denoising Diffusion Probabilistic Models
• Denoising Diffusion Implicit Models
• gDDIM: Generalized denoising diffusion implicit models
• NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
• Leveraging Frequency Analysis for Deep Fake Image Recognition
• The DeepFake Detection Challenge (DFDC) Dataset
• ForgeryNet -- Face Forgery Analysis Challenge 2021: Methods and Results
• FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
• Exposing DeepFake Videos By Detecting Face Warping Artifacts
• The Stable Signature: Rooting Watermarks in Latent Diffusion Models
• Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
• Stable Signature is Unstable: Removing Image Watermark from Diffusion Models

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