New relevant papers

[tamlhp]

Diffusion Deepfake https://arxiv.org/abs/2404.01579

[tamlhp]

An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape https://arxiv.org/abs/2404.16212

[tamlhp]

D3: Scaling Up Deepfake Detection by Learning from Discrepancy https://arxiv.org/abs/2404.04584

[tamlhp]

EEG-Features for Generalized Deepfake Detection https://arxiv.org/abs/2405.08527

[tamlhp]

Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection https://arxiv.org/abs/2404.18649

[tamlhp]

Explicit Correlation Learning for Generalizable Cross-Modal Deepfake Detection https://arxiv.org/abs/2404.19171

[tamlhp]

Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection https://arxiv.org/abs/2403.13479

[tamlhp]

FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge https://arxiv.org/abs/2404.13872

[tamlhp]

In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection under Rebalanced Deepfake Detection Protocol https://arxiv.org/abs/2405.00483

[tamlhp]

Deepfake Sentry: Harnessing Ensemble Intelligence for Resilient Detection and Generalisation https://arxiv.org/abs/2404.00114

[tamlhp]

Explainable Deepfake Video Detection using Convolutional Neural Network and CapsuleNet https://arxiv.org/abs/2404.12841

[tamlhp]

A3:Ambiguous Aberrations Captured via Astray-Learning for Facial Forgery Semantic Sublimation https://arxiv.org/abs/2405.15173

[tamlhp]

Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis https://arxiv.org/abs/2405.00355

[tamlhp]

Compressed Deepfake Video Detection Based on 3D Spatiotemporal Trajectories https://arxiv.org/abs/2404.18149

[tamlhp]

DUPE: Detection Undermining via Prompt Engineering for Deepfake Text https://arxiv.org/abs/2404.11408

[tamlhp]

Selective Domain-Invariant Feature for Generalizable Deepfake Detection https://arxiv.org/abs/2403.12707

[tamlhp]

Text Modality Oriented Image Feature Extraction for Detecting Diffusion-based DeepFake https://arxiv.org/abs/2405.18071

[tamlhp]

Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks https://arxiv.org/abs/2406.04932

[tamlhp]

Deepfake tweets automatic detection https://arxiv.org/abs/2406.16489

[tamlhp]

GM-DF: Generalized Multi-Scenario Deepfake Detection https://arxiv.org/abs/2406.20078

[tamlhp]

Generalized Deepfake Attribution https://arxiv.org/abs/2406.18278

[tamlhp]

Adversarial Magnification to Deceive Deepfake Detection through Super Resolution https://arxiv.org/abs/2407.02670

[tamlhp]

GRACE: Graph-Regularized Attentive Convolutional Entanglement with Laplacian Smoothing for Robust DeepFake Video Detection https://arxiv.org/abs/2406.19941

[tamlhp]

The Tug-of-War Between Deepfake Generation and Detection https://arxiv.org/abs/2407.06174

[tamlhp]

Exploring the Impact of Moire Pattern on Deepfake Detectors https://arxiv.org/abs/2407.10399 Accepted for publication in IEEE International Conference on Image Processing (ICIP 2024)

[tamlhp]

Statistics-aware Audio-visual Deepfake Detector https://arxiv.org/abs/2407.11650 Accepted in ICIP 2024

[tamlhp]

ED4: Explicit Data-level Debiasing for Deepfake Detection https://arxiv.org/abs/2408.06779

[tamlhp]

C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection https://arxiv.org/abs/2408.09647

[tamlhp]

Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture https://arxiv.org/abs/2408.12791

[tamlhp]

Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach https://arxiv.org/abs/2408.16305

[tamlhp]

Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning https://arxiv.org/abs/2408.17065

[tamlhp]

Can We Leave Deepfake Data Behind in Training Deepfake Detector? https://arxiv.org/abs/2408.17052

[tamlhp]

Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection https://arxiv.org/abs/2409.02664

[tamlhp]

A Noise and Edge extraction-based dual-branch method for Shallowfake and Deepfake Localization https://arxiv.org/abs/2409.00896

[tamlhp]

D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack https://arxiv.org/abs/2409.07390

[tamlhp]

Harnessing Wavelet Transformations for Generalizable Deepfake Forgery Detection https://arxiv.org/abs/2409.18301

[tamlhp]

Are Music Foundation Models Better at Singing Voice Deepfake Detection? Far-Better Fuse them with Speech Foundation Models https://arxiv.org/abs/2409.14131

[tamlhp]

A Multimodal Framework for Deepfake Detection https://arxiv.org/abs/2410.03487

[tamlhp]

Shaking the Fake: Detecting Deepfake Videos in Real Time via Active Probes https://arxiv.org/abs/2409.10889

[tamlhp]

Gumbel Rao Monte Carlo based Bi-Modal Neural Architecture Search for Audio-Visual Deepfake Detection https://arxiv.org/abs/2410.06543

[tamlhp]

Herd Mentality in Augmentation -- Not a Good Idea! A Robust Multi-stage Approach towards Deepfake Detection https://arxiv.org/abs/2410.05466

[tamlhp]

Capture Artifacts via Progressive Disentangling and Purifying Blended Identities for Deepfake Detection https://arxiv.org/abs/2410.10244

[tamlhp]

ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks https://arxiv.org/abs/2410.18687

[tamlhp]

Understanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors and Perceptual Insights https://arxiv.org/abs/2411.07650

[tamlhp]

Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization https://arxiv.org/abs/2411.08148

[tamlhp]

How Good is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception https://arxiv.org/abs/2411.09266

[tamlhp]

DiMoDif: Discourse Modality-information Differentiation for Audio-visual Deepfake Detection and Localization https://arxiv.org/abs/2411.10193

[tamlhp]

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach https://arxiv.org/abs/2411.14798